色貌模型CIECAM02若干问题的研究
|
摘要
1931年制定的CIE(国际照明委员会)色度系统,为颜色科学的理论及其应用技术的发展奠定了基础。然而,进入二十世纪80年代,以计算机技术为代表的信息技术得到了迅猛的发展,传统的色度学理论已经难以解决各种颜色信息交流系统中颜色信息的保真传递和交流问题,由此在颜色科学领域引发了一场持续的色貌模型研究热潮。
为了实现跨媒体颜色保真复制,色貌模型是必不可少的一个环节。CIE TC1- 34在1997年建立了色貌模型的统一简化版本—CIECAM97s,经过4年多的测试检验,CIE又于2002年公布了CIECAM97s修正版本CIECAM02,补充了一些信息并更加趋向于实用。但是我们注意到,在国际产业界,迄今为止尚未有任何一种色貌模型被相关领域的颜色管理系统所采用。例如,致力于解决跨媒体之间彩色信息保真交流问题的国际色彩联盟ICC(International Color Consortium)从未把任何一种色貌模型应用在ICC的色彩描述头文件(profile)中。因此可认为,传统色貌模型的理论及其应用仍处于发展、试验阶段。
基于传统色貌模型本身的复杂性及其在应用中的局限性,我们提出了“关联色貌模型”这一概念,直接将媒体的颜色驱动参数与色貌属性参数(包括照明、背景、环境因素等)联系起来。“关联色貌模型”既可以直接应用于各种自成体系的闭环颜色控制系统中,又可以与目前国际上流行的开放式系统中的“色彩描述文件”融合为一体,从而使整个系统得以简化。从色貌本身的特性和实际应用时的运行速度考虑,采用神经网络方法来实现这个模型。
基于传统色貌模型在颜色复制应用时的复杂性,本文提出了一种“视觉匹配”的方法,来获得训练神经网络所需要的样本数据对,并用CIECAM02模型去检验“视觉匹配”方法所获得的实验数据的可靠性(同时也是对CIECAM02的检验),然后通过神经网络方法进行泛化,实现基于神经网络的“关联色貌模型”模块。为了提高神经网络泛化的精度,我们对训练样本进行了优化排序、色空间转换等处理,并提出和实现了各种主观评价与仪器测量相结合的评价方法。同时,利用这种“视觉匹配”和人工神经网络相结合的方法来实现CRT特性化。这种方法由于包含了人眼的色适应因素,所以是一种给定观察条件下基于色貌的视觉特性化方法。在此基础上,建构了一条简洁的颜色复制数据链,实现了基于该方法从硬拷贝NCS色卡到CRT的复制。
另外,鉴于CIECAM02模型只能对处于无彩色背景下的颜色实现准确的色貌预测,还提出了一种对彩色背景下的输入颜色进行相对简单的预处理方法,以便当把预处理得到的数据作为输入时,CIECAM02也可以准确预测。基于对立色理论,通过心理物理视觉实验,获得了一个预处理的色诱导公式。通过有预处理和无预处理的结果比较看出,预处理可以改善预测精度,说明预处理概念提出应该是有意义和有价值的。
The 1931 CIE (COMMISSION INTERNATIONALE DE L′èCLAIRAGE) colorimetric system has established a basis for the development of theory and application technology of color science. However, during the eighties of the 20th century, while the information technology represented by computers has obtained rapid progress, the problems of true color information transformation and communication in various color information communication systems could not be resolved by the traditional colorimetric theory, thereout a durative research upsurge of color appearance model (CAM) has been brought in the field of color science.
For realizing the high perceptional quality cross-media color reproduction, CAMs are necessary. CIE TC1-34 set up a simplized edition of color appearance model― CIECAM97s in 1997. After lots of tests for four years, CIE published the CIECAM02 in 2002, which is a revised edition of CIECAM97s by adding some supplements and making the latter more practical. But as we have noticed, in the color related industries, no CAM has been adopted by any color management system so far. For instance, ICC (International Color Consortium), which is devoting to cross-media color information communication, has never adopted any CAM in ICC profiles. Therefore, it is considered that the theory and application of traditional CAMs are still at the stage of development and testing.
Considering the application complexity of traditional CAMs, we proposed a conception of“medium-dependent CAM”, which connects directly the driving parameters of color media with color appearance attributes (including illumination, background, surrounds etc.). The“medium- dependent CAM”can be applied to various close loop control systems of, as well as integrated with the prevalent“ICC profile”of open systems. Accordingly, the whole system gets simplized. Based on the conditions of characteristics of CAMs and the operation speed in practical application, neural networks were adopted to realize this model.
Due to the complexity of the traditional CAM in color reproduction applications, we proposed a“visual matching”method to get sample data pairs needed by the training of neural networks, and tested the reliability of experimental data from“visual matching”using CIECAM02. Then these data were generalized by neural networks to establish a neural network based module of“medium-dependent CAM”. To improve the generalization capability of neural networks, the arrangement order of training samples were optimized and the color spaces transform was implemented. We put forward and realized some combination assessment methods of various subjective assessments and instrument measurements. At the same time, we also realized CRT characterization using“visual matching”and neural networks. Since this kind of method involves the chromatic adaptation factor of human eyes, it is a color appearance based characterization method under some given viewing conditions. A succinct color reproduction data chain has been constructed, and the reproductions from NCS color chips (hardcopy) to CRT displays (softcopy) have been realized according to this method.
In addition, due to the fact that CIECAM02 can only make accurate color appearance prediction for colors under achromatic backgrounds, has have proposed a comparatively simple pre-process method for the input color under chromatic background so that CIECAM02 can make accurate prediction when the data obtained by the pre-processing are taken as inputs. Based on opponent-colors theory, we obtained a color induction formula for pre-processing through psychophysical visual experiments. By comparing the results from with pre-processing and without pre-processing, it is clear that the pre-processing can improve the prediction accuracy, and this means that the proposition of pre-processing should be meaningful and valuable.
为了实现跨媒体颜色保真复制,色貌模型是必不可少的一个环节。CIE TC1- 34在1997年建立了色貌模型的统一简化版本—CIECAM97s,经过4年多的测试检验,CIE又于2002年公布了CIECAM97s修正版本CIECAM02,补充了一些信息并更加趋向于实用。但是我们注意到,在国际产业界,迄今为止尚未有任何一种色貌模型被相关领域的颜色管理系统所采用。例如,致力于解决跨媒体之间彩色信息保真交流问题的国际色彩联盟ICC(International Color Consortium)从未把任何一种色貌模型应用在ICC的色彩描述头文件(profile)中。因此可认为,传统色貌模型的理论及其应用仍处于发展、试验阶段。
基于传统色貌模型本身的复杂性及其在应用中的局限性,我们提出了“关联色貌模型”这一概念,直接将媒体的颜色驱动参数与色貌属性参数(包括照明、背景、环境因素等)联系起来。“关联色貌模型”既可以直接应用于各种自成体系的闭环颜色控制系统中,又可以与目前国际上流行的开放式系统中的“色彩描述文件”融合为一体,从而使整个系统得以简化。从色貌本身的特性和实际应用时的运行速度考虑,采用神经网络方法来实现这个模型。
基于传统色貌模型在颜色复制应用时的复杂性,本文提出了一种“视觉匹配”的方法,来获得训练神经网络所需要的样本数据对,并用CIECAM02模型去检验“视觉匹配”方法所获得的实验数据的可靠性(同时也是对CIECAM02的检验),然后通过神经网络方法进行泛化,实现基于神经网络的“关联色貌模型”模块。为了提高神经网络泛化的精度,我们对训练样本进行了优化排序、色空间转换等处理,并提出和实现了各种主观评价与仪器测量相结合的评价方法。同时,利用这种“视觉匹配”和人工神经网络相结合的方法来实现CRT特性化。这种方法由于包含了人眼的色适应因素,所以是一种给定观察条件下基于色貌的视觉特性化方法。在此基础上,建构了一条简洁的颜色复制数据链,实现了基于该方法从硬拷贝NCS色卡到CRT的复制。
另外,鉴于CIECAM02模型只能对处于无彩色背景下的颜色实现准确的色貌预测,还提出了一种对彩色背景下的输入颜色进行相对简单的预处理方法,以便当把预处理得到的数据作为输入时,CIECAM02也可以准确预测。基于对立色理论,通过心理物理视觉实验,获得了一个预处理的色诱导公式。通过有预处理和无预处理的结果比较看出,预处理可以改善预测精度,说明预处理概念提出应该是有意义和有价值的。
The 1931 CIE (COMMISSION INTERNATIONALE DE L′èCLAIRAGE) colorimetric system has established a basis for the development of theory and application technology of color science. However, during the eighties of the 20th century, while the information technology represented by computers has obtained rapid progress, the problems of true color information transformation and communication in various color information communication systems could not be resolved by the traditional colorimetric theory, thereout a durative research upsurge of color appearance model (CAM) has been brought in the field of color science.
For realizing the high perceptional quality cross-media color reproduction, CAMs are necessary. CIE TC1-34 set up a simplized edition of color appearance model― CIECAM97s in 1997. After lots of tests for four years, CIE published the CIECAM02 in 2002, which is a revised edition of CIECAM97s by adding some supplements and making the latter more practical. But as we have noticed, in the color related industries, no CAM has been adopted by any color management system so far. For instance, ICC (International Color Consortium), which is devoting to cross-media color information communication, has never adopted any CAM in ICC profiles. Therefore, it is considered that the theory and application of traditional CAMs are still at the stage of development and testing.
Considering the application complexity of traditional CAMs, we proposed a conception of“medium-dependent CAM”, which connects directly the driving parameters of color media with color appearance attributes (including illumination, background, surrounds etc.). The“medium- dependent CAM”can be applied to various close loop control systems of, as well as integrated with the prevalent“ICC profile”of open systems. Accordingly, the whole system gets simplized. Based on the conditions of characteristics of CAMs and the operation speed in practical application, neural networks were adopted to realize this model.
Due to the complexity of the traditional CAM in color reproduction applications, we proposed a“visual matching”method to get sample data pairs needed by the training of neural networks, and tested the reliability of experimental data from“visual matching”using CIECAM02. Then these data were generalized by neural networks to establish a neural network based module of“medium-dependent CAM”. To improve the generalization capability of neural networks, the arrangement order of training samples were optimized and the color spaces transform was implemented. We put forward and realized some combination assessment methods of various subjective assessments and instrument measurements. At the same time, we also realized CRT characterization using“visual matching”and neural networks. Since this kind of method involves the chromatic adaptation factor of human eyes, it is a color appearance based characterization method under some given viewing conditions. A succinct color reproduction data chain has been constructed, and the reproductions from NCS color chips (hardcopy) to CRT displays (softcopy) have been realized according to this method.
In addition, due to the fact that CIECAM02 can only make accurate color appearance prediction for colors under achromatic backgrounds, has have proposed a comparatively simple pre-process method for the input color under chromatic background so that CIECAM02 can make accurate prediction when the data obtained by the pre-processing are taken as inputs. Based on opponent-colors theory, we obtained a color induction formula for pre-processing through psychophysical visual experiments. By comparing the results from with pre-processing and without pre-processing, it is clear that the pre-processing can improve the prediction accuracy, and this means that the proposition of pre-processing should be meaningful and valuable.
引文
[1]韩东洙.韩国的色彩文化.首届亚洲色彩论坛论文集,北京, 1～4, 2004
[2] Kang H R. Color Scanner Calibration. Journal of Imaging science and technology, 1992, 36(2): 162～170
[3] Gordon J J. On the Use of Linear Transformations for Scanner Calibration. Color Res. Appl. 1993, 18(3): 218～228
[4]杨晓宏.电视系统中正确的彩色重现与摄像机的光谱响应特性.电视技术, 1995, 2
[5] Zhu Ziming. Color Pattern Recognition in an Image System with Chromatic Distortion. Optical Engineering, 1994, 33(9): 3047～3051
[6]廖宁放,石俊生,曾华等.传统CRT色度预测模型的相干误差分析.光学学报, 2000, 20(1): 133～138
[7] Berns R S and Motta R J, CRT Colorimetry. Color Res. Appl, 1993, 18(5): 299～325
[8] Kulube H M and Hawkyard C J. Predicting the Colour of Trichromatic Prints. Color Res. Appl, 1995, 20(1): 55～61
[9] Zwinkels J C. Colour-measuring instruments and their calibration. Displays, 1996, 16(4): 163～171
[10] Berns R S. Methods for characterizing CRT displays. Displays, 1996, 16(4): 173～182
[11] Johnson T. Methods for Characterizing Colour Scanners and Digital Cameras. Displays, 1996, 16(4): 183～191
[12] Barco L J. Consideration on Calibration of Color Displays Assuming Constant Channel Chromaticity. Color Res. Appl, 1995, 20(6): 377～387
[13] Fairman H S. How the CIE 1931 Color-Matching Functions WereDerived from Wright-Guild Data. Color Res. Appl., 1997, 22(1): 11～15
[14] Hunt R W G. The Reproduction of Color in Photography, Printing, & Television (4th Ed.). Fountain Press, 1987
[15] Fairchild M D. Color appearance model. U.S.A: Addison-Wesley, 1998
[16] Norimichi Tsumura, Kunlaya Cherdhirunkorn, Daisuke Nakao et al. Spectral Based Color Reproduction for E-commerce with High Compatibility. IS&T/SID Tenth Color Imaging Conference, 2002, 246～249
[17] Rosen M, Imai F, Jiang X, and Ohta N. Spectral Reproduction from Scene to Hardcopy II: Image Processing. 2001, SPIE 4300: 33～41
[18] Bernhard Hill. The History of Multispectral Imaging at Aachen University of Technology. www.ite.rwth-aachen.de
[19]李亨.颜色应用分类辞典.广州:广州教育出版社, 2001, 3
[20] Giorgianni E J and Madden T E. Digital Color Management Encoding Solutions. Addison Wesley, Reading, MA, 1998
[21]钟泽辉,杨辉.如何建立印前色彩管理系统.印刷世界, 2003, 4: 46～48
[22] Hunt R W G, Luo M R, '94北京色度学研讨会特邀报告,北京理工大学颜色科学与工程国家重点专业实验室, 1994
[23] Wyszechi G, Color appearance. Handbook of perception and human performance, Volume 1, Chap. 9.
[24] Robertson A R, A new determination of lines of constant hue, AIC Color 69, Stockholm, 1970, 395～402.
[25] Purdy D M, Spectral hue as a function of intensity, Am. J. Psych. 1931, 43: 541～559.
[26] Hunt R W G, A model of colour vision for predicting colour appearance. Color Res. Appl., 1982, 7(2): 95～112
[27] Hunt R W G, Pointer M R, A colour-appearance transform for the CIE1931 standard colorimetric observer. Color Res. Appl., 1985, 10(3): 165～179
[28] Hunt R W G, A model of colour vision for predicting colour appearance in various viewing conditions. Color Res. Appl., 1987, 12(6): 297～314
[29] Hunt R W G, Revised colour-appearance model for related and unrelated colours. Color Res. Appl., 1991, 16(3): 146～165
[30] Hunt R W G, An improved predictor of colourfulness in a model of colour vision. Color Res. Appl., 1994, 19(1): 23～26
[31] Hunt R W G, Luo M R, Evaluation of a model of colour vision by magnitude scalings: Discussion of collected results. Color Res. Appl., 1994, 19(1): 27～33
[32] Nayatani Y, Takahama K, Sobagaki H, Formulation of a nonlinear model of chromatic adaptation, Color Res. Appl., 1981, 6(3): 167～171
[33] Takahama K, Sbagaki H, Nayatani Y, Formulation of a nonlinear model of chromatic for a light- grey background, Color Res. Appl., 1984, 9(2): 106～115
[34] Nayatani Y, Hashimoto K, Takahama K, et al. A nonlinear color-appearance model using Estevez- Hunt-Pointer primaries, Color Res. Appl., 1987, 12(5): 231～242
[35] Nayatani Y, Takahama K, Sobagaki H and Hashimoto K, Color appearance model and chromatic- adaptation transform. Color Res. Appl., 1990, 15(4): 210～221
[36] Nayatani Y, Sobagaki H, Hashimoto K, et al. Lightness dependency of chroma scales of a nonlinear color-appearance model and its latest formulation. Color Res. Appl., 1995, 20(3): 156～167
[37] Fairchild M D, Visual evaluation and evolution of the RLAB color space, The Second IS&T/SID Color Imaging Conference: Color Science and Application, 1994, 9～13
[38] Luo M R, Lo M C, Kuo W G, The LLAB (l:c) colour model, Color Res. Appl., 1996, 21: 412～429.
[39] MacDonald L W, Luo M R, and Scrivener S A R. Factors affecting the appearance of coloured images on a video display monitor. J. Photogr.Sci. 1990, 38: 177～186
[40] Kim T G, Berns R S, and Fairchild M D. Comparing appearance models using pictorial images. Proc. 72-IS&T and SID’s Color Imaging Conference: Transforms and Transportability of Color, 1993, 72～77
[41] Beretta G, Is color appearance matching necessary? 1994, SPIE 2171: 220～227
[42] Katoh N, Practical method for appearance match between soft copy and hard copy. 1994, SPIE 2170: 170～181
[43] Braun K M and Fairchild M D. Evaluation of five color appearance transforms across changes in viewing conditions and media. Proc. IS&T/SID Third Color Imaging Conference, 1995, 93～96
[44] Braun K M, Fairchild M D, and Alessi P J. Viewing techniques for cross-media image comparisons. Color Res. Appl. 1996, 21(1): 6～17
[45] Lo M C, Luo M R, and Rhodes P A. Evaluating colour models’performance between monitor and print images. Color Res. Appl., 1996, 21(4): 277～291
[46] Braun K M and Fairchild M D. Psychophysical generation of matching images for cross-media reproduction. Proc. IS&T and SID’s 4th Color Imaging Conference: Color Science, Systems, and Applications, 1996, 214～220
[47] Braun K M and Fairchild M D. Testing five color appearance models for changes in viewing conditions. Color Res. Appl., 1997, 22(3): 165～173
[48] Hseue Tung-Chang, Shen Yu-Chuan, and Chen Po-Chi et al. Cross-Media Performance Evaluation of Color Models for Unequal Luminance Levels and Dim surround. Color Res. Appl., 1998, 23(3): 169～177
[49] Alessi P. J., CIE guidelines for coordinated research on evaluation of colour appearance models for reflection print and self-luminous]. Color Res. Appl., 1994, 19(1): 48～58
[50] Luo M R, Hunt R W G, The structure of the CIE 1997 ColourAppearance Model, Color Res. Appl., 1998, 23(3): 138～146
[51] Hiroaki Sobagaki, Tadashi Yano, et al. On the field trials of CIECAM97s and its model structure, Color Res. Appl., 1999, 24(6): 439～456
[52] Fairchild M D. A Revision of CIECAM97s for Practical Applications, Color Res. Appl., 2001, 26(6): 418～427
[53] Li Changjun, Luo M. R, Hunt R W G, Nathan Moroney, Mark D. Fairchild, Todd Newman. The Performance of CIECAM02. IS&T/ISD’s Tenth Color Imaging Conference, Color Science and Engineering:System Technologies and Applications,Scottsdale, Arizona,November 12～15, 2002
[54] Moroney N, Fairchild M D, Hunt R W G, Li Changjun, Luo M R,Newman T. The CIECAM02 Color Appearance Model, IS&T/ISD’s Tenth Color Imaging Conference, Color Science and Engineering:System Technologies and Applications,Scottsdale, Arizona,November 12～15, 2002
[55] Pattanai k S N, Ferwerda J A, Fairchild M D, and Greenberg D P. A multiscale model of adaptation and spatial vision for Image Display. Proceedings of SIGGRAPH 98, 1998, 287～298
[56] Pattanaik S N, Fairchild M D, Ferwerda J A, and Greenberg D P, Multiscale Model of Adaptation, Spatial Vision, and Color Appearance. IS&T/SID 6th Color Imaging Conference, Scottsdale, 1998, 2～7
[57] Johnson G M and Fairchild M D, Sharpness Rules, IS&T/SID 8th Color Imaging Conference, Scottsdale, 2000
[58] Braun G J, Ebner F, and Fairchild M D, Color Gamut Mapping in a Hue-Linearized CIELAB Color Space, IS&T/SID 6th Color Imaging Conference, Scottsdale, 1998, 163～168
[59] Ebner F, and Fairchild M D, Development and Testing of a Color Space (IPT) with Improved Hue Uniformity, IS&T/SID 6th Color Imaging Conference, Scottsdale, 1998, 8～13
[60] Fairchild M D and Johnson G M, Meet iCAM: A next-generation color appearance model, IS&T/SID 10th Color Imaging Conference, Scottsdale, 2002, 33～38
[61] Fairchild M D and Johnson G M. Image Appearance Modeling. Proceedings of SPIE/IS&T Electronic Imaging, 2003,SPIE 5007 149～160
[62] Fairchild M D and Johnson G M. iCAM framework for imaging appearance, differences and quality. Journal of Electronic Imaging, 2004, 13(1): 126～138
[63] Morovic J, Luo M R. Two unsolved problems in colour management—colour appearance and gamut mapping. Proc of 5th International Conference on High Technology, 1996, 136～147
[64] Luo M R, Hunt R W G. The structures of the CIE1997 colour appearance model (CIECAM97s). Color Res. Appl., 1998, 23(3): 138～146
[65] Li C, Luo M R, Hunt R W G. The CIECAM97s model. Proc of 7th IS&T/SID Seventh Color Imaging Conference, 1999, 262~263
[66] Sueeprasan S, Luo M R and Rhodes P A. Investigation of Colour Appearance Models for Illumination Changes across Media. Color Res. Appl., 2001, 26(6): 428～435
[67] Cheng Fang-Hsuan; Yang Chih-Yuan, Color reproduction system based on color appearance model and gamut mapping. 2000, SPIE 4080: 167～178
[68] Wyble D R, Fairchild M D. Prediction of Munsell appearance scales using various color-appearance models. Color Res. Appl., 2000, 25(2): 132～144
[69] Matsushiro N; Kurabayashi K. 3D stereo color imaging system based on color appearance model. 2000, SPIE 3963: 271～280
[70] Mahadev S; Henry R C. Application of a color appearance model to vision through atmospheric haze. Color Res. Appl., 1999, 24(2): 112～120
[71] Marini D, Rizzi A R. Color Appearance for Photorealistic Image Synthesis. 2001, SPIE 4300: 208～215
[72] Huan H, Li W, and Zhao D Z. New Color-difference Formula Based on CIECAM97s. Journal of Beijing Institute of Technology (English Edition), 2001, 10(2): 149～152
[73] Braun K M., Fairchild. Psychophysical Generation of Matching Images for Cross-Media Color Reproduction. Journal of the Society for Information Display, 2000, 8(1): 33～44
[74] Kim Jin-Seo, Cho Maeng-Sub. Applying CIECAM97s in a Color management System. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 11 Oct. 2000, 1524～1528
[75] Mojsilovic A, Hu J Extraction of Perceptually Important Colors and Similarity Measurement for Image Matching. IEEE International Conference on Image Processing, 2000, 1: 61～64
[76] Berns B S, Choh Heui-Keun. Cathode-ray-tube to Reflection-print Matching under Mixed Chromatic Adaptation Using RLAB. Journal of Electronic Imaging, 1995, 4(4): 347～359
[77] CIE TC1-34. The CIE 1997 Interim Colour Appearance Model (Simple Version), CIECAM97s. April 1998. http://www.colour.org
[78] CIE Publication 131, The CIE 1997 Interim Colour Appearance Model (simple version), CIECAM97s, 1998.
[79] Moroney N, A comparison of CIELAB and CIECAM97s, Proceeding of the Sixth Color Imaging Conference: Color Science, Systems and Applications, 17～21, 1998.
[80] Newman T. and Pirrotta E., The darker side of color appearance models and gamut mapping, Colour Image Science 2000, University of Derby, 2000, 215～223
[81] Li C J, Luo M R, and Hunt R W G, A revision of the CIECAM97s Model, Color Res. Appl., 2000, 26: 418～427
[82] Sid-A hmed M A, Selective color adjustment using a neural network as acolor classifier, IEEE, 1996, 1460～1463
[83] Cho Maeng-Sub, Kang Byoung-Ho, Device calibration of a color image scanner digitizing system by using neural networks, IEEE, 1995, 59～62
[84] Coutney S M, Leif H. Finkel and Gershon Buchsbaum, A multistage neural network for color constancy and color induction, IEEE Transactions on Neural Networks, 1995, 6(4): 972～985
[85] Shastri V, Rabelo L C, Onjeyekwe E, Device-independent color correction for multi- media applications using neural networks and adductive modeling approaches, IEEE, 1996, 2176～2181
[86] Arai Y, Makauchi S and Usui S. Color correction method based on the spectral reflectance estimation using a neural network, Proc. of the Fourth IS&T/SID Color Imaging Conference, 1996, 5～9
[87] Tatsumi Watanabe, Akio Kojima, Yasuhiro Kuwahara and Toshiharu Kurosawa, IEEE, 2001, 553～556
[88] Boldrin E, Effective and efficient mapping of colour appearance, Color Res. Appl., 1997, 22: 308～317
[89] Campadelli P, Gangai C, Schettini R, Learning Color-appearance models by means of feed forward neural networks, Color Res. Appl. 1999, 24(6): 411～421
[90] Xin J H et al. Colour-Appearance Modeling Using feed-forward networks with Bayesian regularization method—PartⅠ: Forward Model, Color Res. Appl. 2000, 25(6): 424～434
[91] John X H et al. Colour-Appearance Modeling Using feed-forward networks with Bayesian regularization method—PartⅡ: Backward Model, Color Res. Appl. 2002, 27(2): 116～121
[92] Schettini R, Approximating the CIECAM97s color appearance model by means of neural networks, Image and Vision Computing, 2001, 19(9-10): 691～697
[93]周双全,赵达尊. Neural network method for characterizing video cameras. 1998, SPIE 3561: 62～68
[94] Zhou S Q, Zhao D Z Neural Network Method for Colorimetry Calibration of Video Cameras. Journal of Beijing Institute of Technology (English Edition), 2000, 9(1):31～36
[95] Post D L. An evaluation of methods for producing desired colors on CRT. Color Res. Appl. 1989, 14:172
[96] Hung P C. Colormetric calibration in electronic imaging devices using a look-up table model and interpolations. Journal of Electronic Imaging, 1993, 2(1):53
[97] Chang P R, Tai C C, Yeh B F. Model-Reference Color Reproduction for Video System. 1994, SPIE 2170:182
[98]廖宁放,基于神经网络的CRT色度变换方法:[学位论文],北京:北京理工大学,1999
[99] Fairchild M D, Color Appearance Models, Chapter 6, color appearance phenomena, 133～136, Addison-Wesley, Reading, MA 1998
[100] Nayatani Y, Some modifications to Hering’s opponent-colors theory, Color Res. Appl. 2001, 26: 290～304
[101] Nayatani Y, A modified opponent-colors theory considering chromatic strengths of various hues, Color Res. Appl. 2003, 28: 284～297.
[102] Nayatani Y, Proposal of an opponent-colors system based on color-appearance and color-vision studies, Color Res. Appl. 2004, 29: 135～150
[103] Wyszecki G, Current developments in colorimetry, AIC color 73, 1997, 21～51
[104] Hering E, Outlines of a theory of the light sense, Harvard Univ. Press, Cambridge, Mass, 1920 (trans. by L. M. Hurvich and D. Jameson, 1964)
[105] Evans R M, An Introduction to Color, John Wiley & Sons, New York, N. Y., 1948
[106] Albers J, Interaction of Color, Yale University Press, New Haven, Conn., 1963
[107] Hurvich L M, Color vision, Sinauer Associates, Sunderland, Mass., 1981
[108] Blackwell K T and Buchsbaum G, The effect of spatial and chromatic parameters on chromatic induction, Color Res. Appl., 1988a, 13(2): 166～173
[109] Boynton R M, Human Color vision, Optical Society of America, Washington, D. C., 1979.
[110] Hunt R W G, Hue shifts in unrelated and related colours, Color Res. Appl., 1989, 12: 235～239
[111] Cornelissen E W and Brenner E, Simultaneous colour constancy revisited: An analysis of viewing strategies, Vision Research, 1995, 35: 2431～2448
[112] Semmelroth C C, Prediction of lightness and brightness on different backgrounds, J. Opt. Am., 1970, 60: 1685～1689
[113] Chevreul M E, The Principles of Harmony and Contrast of Colors (1839). Reprinted, Van Nostrand Reinhold, New York, N. Y., 1967
[114] Bressan P, Revisitation of the luminance conditions for the occurrence of the achromatic neon color spreading illusion, Perception & Psychophysics, 1993, 54: 55～64
[115] Hunt R W G, Light and dark adaptation and the perception of color, J. Opt. Soc. Am., 1952, 42: 190～199
[116] Stevens J C and Stevens S S, Brightness functions: Effects of adaptation, J. Opt. Soc. Am., 1963, 53: 375～385
[117] Helmholtz H V, Handbuch der physiologischen Optick, 1st Ed. Voss, Hamburg, 1866.
[118] Helson H, Fundamental problems in color visionⅠ. The principle governing changes in hue, saturation, and lightness of non-selective samples in chromatic illumination, J. Exp. Psych., 1938, 23: 439～477
[119] Bartleson C J and Breneman E J, Brightness perception in complex fields, J. Opt. Soc. Am., 1967, 57: 953～957
[120] Brill M H and West G, Chromatic adaptation and color constancy: A possible dichotomy, Color Res. Appl., 1986, 11: 196～227
[121] Zmura M D and Lennie P, Mechanisms of color constancy, J. Opt. Soc. Am., 1986, A3: 1662～1672
[122] Finlayson G D, Drew M S, and Funt B V, Spectral sharpening: Sensor transformations for improved color constancy, J. Opt. Soc. Am., 1994a, A11: 1553～1563
[123] Finlayson G D, Drew M S, and Funt B V, Color constancy: Generalized diagonal transforms suffice, J. Opt. Soc. Am., 1994b, A11: 3011～3019
[124] Braun K M, Fairchild M D, Testing five color-appearance models for changes in viewing conditions, Color Res. Appl., 1997, 22(3): 165～173
[125] Kries J V, Chromatic Adaptation, Festscbrift der Albrecbt-Ludwig- Universit?t (Fribourg), 1902. (Translation: D. L. MacAdam, Sources of Color Science, MIT Press, Cambridge, Mass., 1970)
[126] Nayatani Y, Takahama K, and Sobagaki H, Estimation of adaptation effects by use of a theoretical nonlinear model, Proceedings of the 19th CIE Session, Kyoto, Japan (1979), CIE Publ. No. 5, 1980, 490～494
[127] MacAdam D L, A nonlinear hypothesis for chromatic adaptation, Vision Research, 1961, 1: 9～41
[128] Stevens J. C. and Stevens S. S., Brightness functions: Effects of adaptation, J. Opt. Soc. Am. 1963, 53: 375～385
[129] Nayatani Y, Takahama K, Sobagaki H and Hirono J, On exponents of a nonlinear model of chromatic adaptation, Color Res. Appl., 1982, 7: 34～45
[130] Nayatani Y, Hashimoto K, Takahama K, and Sobagaki H, A nonlinear color-appearance model using Estévez-Hunt-Pointer Primaries, Color Res. Appl., 1987, 12: 231～242
[131] Guth S L, Model for color vision and light adaptation, J. Opt. Soc. Am.1991, A230: 149～187
[132] Guth S L, Further applications of the ATD model for color vision, 1995, SPIE 2414, 12～16
[133] Fairchild M D, A model of incomplete chromatic adaptation, Proceedings of the 22nd Session of the CIE, Melbourne, 1991a, 33～34
[134] Fairchild M D, Formulation and testing of a chromatic adaptation model, Color Res. Appl., 1991b, 16: 243～250
[135] Takahama K, Sobagaki H, and Nayatani Y, Analysis of chromatic adaptation effect by a linkage model, J. Opt. Soc. Am., 1977, 67: 651～656
[136] Alessi P J, Billger M, Bodrogi P, et al. Chromatic adaptation under mixed illumination condition when comparing softcopy and hardcopy images, COMMISSION INTERNATIONAL DE L’ECLAIRAGE international commission on illumination international Beleuchtungskommission Technical Report, 2004
[137] Katoh N, Nakabayashi K, ITO M and Ohno S, Effect of ambient light on the color appearance of softcopy images: Mixed chromatic adaptation for self-luminous displays, J Elec. Imaging, 1998, 7: 794～806
[138] Katoh N, Practical method for appearance match between soft copy and hard copy, 1994, SPIE 2170, 170～181
[139] Katoh N, Nakabayashi K, Effect of ambient light on color appearance of soft copy images, Proc. AIC Color 97 Kyoto, 1997, 2: 582～585
[140] Berns R S and Choh K H, Cathode-ray-tube to reflection print matching under mixed chromatic adaptation using RLAB, J. Elec. Imaging, 1995, 4: 347～359
[141] Shiraiwa Y, Hidaka Y, Mizuno T, Sasaki T, Ohta K and Usami A, Color appearance matching in hardcopy and soft-copy images in different office environments, Proc. SPIE, 3300, 1998, 148～158
[142] S. A. Henley and M. D. Fairchild, Quantifying mixed adaptation incross-media color reproduction, Proc. IS&TISID Color imaging Conf., 2000, 8: 305～310
[143] http://www.colour.org/tc8-04/Experiment guideline.html.
[144] K. M. Braun, M. D. Fairchild, P. J. Alessi, Viewing techniques for cross-media image comparisons, Color Res. Appl., 1996, 21(1): 6～17
[145] P. J. Alessi, CIE guidelines for coordinated research on evaluation of colour appearance models for reflection print and self-luminous display image comparison, Color Res. Appl., 1994, 19: 48～58
[146] S. M. Newhall, R. W. Burnham, and J. R. Clark, Comparison of successive with simultaneous color matching, J. Opt. Soc. Am., 1957, 47: 43～56
[147] R. W. G. Hunt and L. M. Winter, Colour adaptation in picture-viewing situations, J. Phot. Sci., 1975, 23: 112～115
[148] M. D. Fairchild, E. Pirrotta, and T. Kim, Successive-Ganzfeld haploscopic viewing technique for color-appearance research, Color Res. Appl., 1994, 19: 214～221
[149] W. D. Wright, The measurement and analysis of color adaptation phenomena, Proc. Roy. Soc. (London), 1934, 115B: 49～87
[150] W. D. Wright, Why and how chromatic adaptation has been studied, Color Res. Appl., 1981, 6: 147～152
[151] J. Von Kries, Chromatic adaptation, Festschrift der Albrecht-Ludwig-Universi -t?t, 1902
[152] Colorimetry, 2nd Ed, CIE Publ. No. 15.2, Central Bureau of the CIE, Paris, 1986
[153] CIE Tc8-01, Color appearance models for color management systems, Draft No.7, 2002, P5
[154] G. Wyszecki, Color appearance, Chapter 9 in Handbook of Perception and Human Performance, John Wiley & Sons, New York, N.Y. 1982
[155] Hunt R W G, Terms and formulae for specifying colour appearance, Color 77, 321～330
[156] Luo M. R., Rhodes P. A. Using the LUTCHI color appearance data. http://colour.derby.ac.uk/color, 2001.
[157] Luo M. R., Clarke A. A., Rhodes P. A., et al. Quantifying color appearance. PartⅠ. LUTCHI color appearance data. Color Res. Appl., 1991, 16: 166～180
[158] Luo M. R., Clarke A. A., Rhodes P. A., et al. Quantifying color appearance. PartⅡ. Testing color models performance using LUTCHI color appearance data. Color Res. Appl., 1991, 16: 181～197
[159] Fairchild M. D., Berns R. S., Imaging Color-appearance specification through extension of CIELAB, Color Res. Appl., 1993, 18(3): 178～190
[160]徐红,非相关色及中间视觉条件下的色貌模型的评价研究:[学位论文],北京:北京理工大学,1996.
[161] CIE TC1-34. The CIE 1997 Interim Colour Appearance Model (Simple Version), CIECAM97s. April 1998. http://www.colour.org
[162] Kim, Jin-Seo, Cho and Maeng-Sub. Applying CIECAM97s in a Color Management System. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 11 Oct. 2000, 1524～1528
[163] Changjun Li, M. Ronnier Luo and Robert W. G. Hunt et al. The Performance of CIECAM02. IS&T/SID Tenth Color Imaging Conference, 2002, 28～32
[164] Abramov, J. Gordon, and H. Chan, Color appearance across the retina: Effects of a white surround, J. Opt. Soc. Am, A9, 1992, 195～202
[165] Hunt R. W. G., The reproduction of Colour, 5th Ed., Fountain Press, England, 1995.
[166] K. M. Braun and M. D. Fairchild, Evaluation of five color-appearance transforms across changes in viewing conditions and media, IST/SID 3rd Color imaging Conference, Scottsdale, Ariz., 1995, 93～96
[167] K. M. Braun and M. D. Fairchild, Testing five color appearance modelsfor changes in viewing conditions, Color Res. Appl. 1997a, 21: 165～173
[168] C. J. Bartleson and E. J. Breneman, Brightness perception in complex fields. J. Opt. Soc. Am., 1967, 57: 953～957
[169] M. D. Fairchild, Considering the surround in device independent color imaging, Color Res. Appl., 1995b, 20: 352～363
[170] R. W. G. Hunt, M. R. Pointer, A colour-appearance transform for the 1931 standard colorimetric observer, Color Res. Appl., 1985, 10: 165～179
[171] Evans R. M., Visual process and color photography, J. Opt. Soc. Am., 1943, 33: 579～614
[172] J. Von Kries, Die Gesichtsempfindungen, in Handbuch der physiologie des Menschen, Vol.Ш. Braunschweig, Vieweg. 1902, 109～182
[173] J. Von Kries, Chromatic adaptation, Festschrift der Albrecht- Ludwig-Universit?t (Fribourg), 1902. [Translation: D. L. MacAdam, Sources of Color Science, MIT Press, Cambridge, Mass. 1970].
[174] Hunt R. W. G., Reversing the Bradford chromatic adaptation transforms, Color Res. Appl., 1997, 22: 235～356
[175] Mori L, Sobagaki H, Komatsubara H, Ikeda K., Field trials on CIE chromatic adaptation formula, in Proceedings of the CIE 22nd session, 1991, 55～88
[176] Kuo W. G., Luo M. R., Bez H. E., Various chromatic adaptation transforms tested using new colour appearance data in textiles, Color Res. Appl., 1995, 20: 313～327
[177] Lam K. M., Metamerism and colour constancy [DPhil thesis], University of Bradford, 1985
[178] Helson H., Judd D. B., Warren M. H., Object-color changes form daylight to incandescent filament illumination, Illum. Eng., 1952, 47: 221～233
[179] Breneman E. J., Corresponding chromaticities for different states ofadaptation to complex visual fields, J Opt. Soc. Am., 1987, 4A: 1115～1129
[180] Braun K. M., Fairchild M. D., Psychophysical generation of matching images for cross-media color reproduction, Proceedings of the 4th Color Imaging Conference, Springfield, VA: IS&T, 1996, 214～220
[181] McCann J. J., McKee S. P., and Taylor T. H., Quantitative studies in Retinex theory: a comparison between theoretical predictions and observer responses to the“color mandarin”experiments, Vision Res., 1976, 16: 445～458
[182] Li C. J., Luo M. R., Rigg B., Hunt R. W. G., CMC2000 chromatic adaptation transform: CMCCAT2000, Color Res. Appl., 2002, 27(1): 49～58
[183] S. Susstrunk, J. Holm, and G. D. Finlayson, Chromatic adaptation performance of different RGB sensors, IS&T/SPIE Electronic Imaging, 2000, SPIE 4300, 172～183
[184] G. D. Finlayson and S. Süsstrunk, Performance of a chromatic adaptation transform based on spectral sharpening, Proc. of IS&T/SID 8th Color Imaging Conference, 2000, 49～55
[185] G. D. Finlayson, P. Morovic, Is the sharp adaptation transform more plausible than CMCCAT2000? Proc. 9th IS&T/SID Color Imaging Conference, 2001, 310～315.
[186] A. J. Calabria, M. D. Fairchild, Herding CATs: a comparison of linear chromatic-adaptation transforms for CIECAM97s, Proc. 9th IS&T/SID Color Imaging Conference, 2001, 174～177
[187] J. M. Valeton, D. Van Norren, Light adaptation of primate cones: an analysis based on extracellular data, Vision Res., 1983, 23: 1539～1547
[188] Seim T and Valberg A., Towards a uniform color space: a better of formula to describe the Munsell and OSA color scales, Color Res. Appl., 1986, 11: 11～24
[189] L. Michaelis, Mand L. Menten, Die kinetic der Invertinwerkung, Biohemische Zeitschrift, 1913, 49
[190] C. J. Bartleson and E. J. Breneman, Brightness perception in complex fields. J. Opt. Soc. Am., 1967, 57: 953～957
[191] M. D. Fairchild and G. M. Johnson, Meet iCAM: A next-generation color appearance model, IS&T/SID 10th Color Imaging Conference, Scottsdale, 2002, 33～38
[192] MacDonald L, Developments in colour management systems. Crosfield Electronics Ltd, July 1995
[193]袁增任,人工神经元网络及其应用,北京:清华大学出版社,1999,10
[194]程相君,王春宁,陈生潭.神经网络原理及其应用,北京:国防工业出版社,1995
[195] E. Boldrin, R. Schettini, Faithful cross-media color matching using neural networks, Pattern Recognition, 1999, 32: 465～476
[196] P. Campadelli, C. Gangai, R. Schettini, Learning Color-appearance models by means of feed forward neural networks, Color Res. Appl. 1999, 24(6): 411～421
[197] John H. Xin et al. Colour-Appearance Modeling Using feed-forward networks with Bayesian regularization method—PartⅠ: Forward Model, Color Res. Appl. 2000, 25(6): 424～434
[198] John H. Xin et al. Colour-Appearance Modeling Using feed-forward networks with Bayesian regularization method—PartⅡ: Backward Model, Color Res. Appl. 2002, 27(2): 116～121
[199] R. Schettini, Approximating the CIECAM97s color appearance model by means of neural networks, Image and Vision Computing, 2001, 19(9-10): 691～697
[200] E. Boldrin, R. Schettini, Faithful cross-media color matching using neural networks, Patten Recognition, 1999, 32: 465～476
[201] J. M. Bishop, et al. Application of neural networks to computer recipe prediction, Color Res. Appl. 1991, 16(1): 3～9
[202] Shiro Usui, Shigeki Nakauchi, Masae Nakano, Reconstruction of Munsell color space by a five-layer neural network, J. Opt. Sot. Am., 1992, A/9(4): 516～520
[203] Shoji Tominaga, Color notation conversion by neural networks, Color Res. Appl. 1993, 19(4): 253～259
[204] Hong Yan, Jing Wu, Character and line extraction from color map images using a multi-layer neural network, Patten Recognition Letters, 1994, 5(1): 97～103
[205] Yoshi fumi Arai, Yasuo Miyamoto et al. Device-and-illuminant independent color reproduction using principal component analysis and neural networks, 1995, SPIE 2414:115～122
[206] Steven R. Skinner, Elizabeth C. Behrman, et al. Neural network implementation using self-lensing media, Applied Optics, 1995, 34(20): 4129～4135
[207] R. Schettini, et al. Colorimetric calibration of color scanners by back propagation, Pattern Recognition Letters, 1995, 16: 1051～1056
[208] Shoji Tominaga, Color control using neural networks and its application, 1996, SPIE 2658:253～260
[209] Zhou Shuangquan, Zhao Dazun, Neural network method for characterizing video cameras, 1998, SPIE 3561: 62～68
[210] Hansj?rg Künzli et al. Prediction of colorimetric measurements in newspaper printing using neural networks, 1998, SPIE 3648:11～17
[211] Shoji Tominaga, Color control of printers by neural network, Electronic Imaging, 1998, 7(3): 664～671
[212] L. V. Cheung, S. Westland, Color camera characterization using artificial neural networks, IS&T/SID’s Tenth Color Imaging Conference. Color Science and Engineering: System Technologies and Applications. Scottsdale, Arizona, November 12~15, 2002
[213] Liao Ningfang, Gao Zhiyun, A comparative study of a CRT colorimetric prediction model by neural networks and the models byconventional method, Color Res. Appl. 1999, 24(1): 1～7
[214] Liao Ningfang, Shi Junsheng, Yang Weiping, Improved training-set distribution model for the training of BP neural networks in CRT color conversion, 2002, SPIE 4922:155～158
[215]周双全,赵达尊.基于BP网络的打印色彩控制技术,光学技术, 1999, 5: 22～27
[216]杨卫平.跨媒体颜色复制技术简化研究:[学位论文].北京:北京理工大学, 2005
[217]黄庆梅.彩色图像复制及色域映射技术的研究:[学位论文].北京:北京理工大学, 2002
[218] Simon Haykin,叶世伟,史忠植译.神经网络原理.北京:机械工业出版社, 2004, 123, 145
[219] E. Coates, K. Y. Fong, B. Rigg, Uniform lightness scales. J Soc Dyers Col 1981; 97: 179～183
[220] M. R. Luo, Using the LUTCHI colour appearance data, Color Res. Appl., 1997, 22(6): 414～417
[221] S. McCamy, H. Marcus, J. G. Davidson, A color-rendition chart, Journal of application photo Engineering, 1976, 2: 95～99
[222] Wang Daheng, Jing Qicheng, Sun xiuru, Lin Zhiding, and Zhang Jiaying, The Chinese color system, Acta Psychologica Sinica, 1997, 29(3): 225～233
[223]宦辉,基于CIECAM97s的均匀色空间:[学位论文].北京:北京理工大学, 2000
[224] P. J. Alessi, CIE guidelines for coordinate research on evaluation of colour appearance models for reflection print and self-luminous display image comparison, Color Res. Appl., 1994, 19: 48～58
[225] A. Hard and L. SIvik, NCS-Natural Color System: A Swedish standard for color notation, Color Res., Appl., 1981, 6: 129～138
[226] A Hard, L. Sivik, G. Tonnquist, NCS natural color system——from concept to research and application, PartⅠ. Color Res. Appl., 1996,21: 180～205
[227] A Hard, L. Sivik, G. Tonnquist, NCS natural color system——from concept to research and application, PartⅡ. Color Res. Appl., 1996, 21: 206～220
[228] E. Hering, Outlines of a theory of light sense, Harvard Univ. Press, Cambridge, Mass. 1920. (Trans. by L. M. Hurvich and D. Jameson, 1964)
[229] M. R. Luo, B. Rigg, Chromaticity-discrimination ellipses for surface colours, Color Res. Appl., 1986, 11:25～42
[230] W. G. Kuo, M. R. Luo, Methods for quantifying metamerism. Part 1—Visual assessment. J Soc Dyers Col, 1996; 112: 312～320
[231] W. G. Kuo, M. R. Luo, Methods for quantifying metamerism. Part 2—Instrumental method. J Soc Dyers Col, 1996; 112: 354～360
[232] S. S. Guan, M. R. Luo. Investigation of parametric effects using small colour differences, Color Res. Appl., 1999; 24: 331～343
[233] H. Yu, Color reproduction and Color prediction from scanner image to print image using back-propagation neural network, 2002; SPIE 4922: 195～198
[234] M. R. Luo, B. Rigg, Chromaticity-discrimination ellipses for surface colours, Color Res. Appl., 1986; 11: 25～42
[235] G. Cui, W. Li, M. R. Luo, Study of the parametric effects in colour-differences evaluation using CRT display, ACTA OPTICA SINICA, 2001; 21: 426～432
[236] M. Cheung, B. Rigg, Colour-difference ellipsoids for five CIE colour centres. Color Res. Appl., 1986; 11: 185～195
[237] W. Schultz, The usefulness of colour-difference formulae for fixing colour tolerances, color metrics. Soesterberg: AIC/Holland; 1972; 245～265
[238] S. S. Guan, M. R. Luo, A colour-difference formula for assessing large colour differences, Color Res. Appl., 1999; 24: 344～355
[239]王选.北大方正电子出版系统最新技术发展.云南印刷, 1994, 4: 14～18
[240]肖建国.北大方正彩色出版系统的技术路线.印刷技术, 1994, 6: 6～10
[241] Durrett H. J. Color and the computer, Academic Press Inc., 1987
[242] Laihanen P. Color Reproduction Theory based on the principles of Color Science. Advances in Printing Science & Technology, 1992, 19(6): 1～36
[243] Carli D. High Fidelity color Electronic Prepress system: Developer/User Survey. TAGA, 1992, 1～12
[244] Xu L. Color space for image Representation for image proceeding, TAGA, 1993, 114～138
[245] Engeldrum P. G. and Ingraham J. L. Analysis of White Point and Phosphor Set Differences of CRT Displays. Color Res. Appl, 1990, 15(3): 151～155
[246]汤顺青.色度学.北京:北京理工大学出版社, 1999, 23
[247] Post D. L. An evaluation of methods for producing desired colors on CRT. Color Res. Appl., 1989, 14: 172
[248]王敬平.计算机控制的CRT真彩色显示技术的研究:[学位论文].北京:北京理工大学, 1994.
[249] Berns R. S. CRT colorimetry PartⅠ: Theory and practive. Color Res. Appl., 1993, 18:299
[250] Berns R. S. CRT colorimetry PartⅡ: Metrology. Color Res. Appl., 1993, 18: 315
[251] Berns R. S. Methods for characterizing CRT displays. Displays, 1996, 16(4): 173～182
[252] Nobuhiko Tamura, Norimichi Tsumura and Yoichi Miyake. Masking Model for Accurate Colorimetric Characterization of LCD. IS&T/SID Tenth Color Imaging Conference, 2002, 312~316
[253] CIE TC8-04. Chromatic adaptation under mixed illumination conditionwhen comparing softcopy and hardcopy images. 2004. Vienna, AUSTRIA: COMMISSION INTERNATIONALE DE L'ECLAIRAGE CIE Central Bureau, ISBN 3901906xxy, http://www.cie.co.at/
[254] Morley D I, Rich R. M, Billmeyer F. W., Small and Moderate Colour difference:Ⅱ. The Morley Data, J. Soc. Dyers Col., 1975, 91:229～242
[255] Robinson F. D., Acceptability of Colour Matches. J. Oil Col. Chem. Assoc., 1969, 52: 15～45
[256] Minjin Zhang, Image processing and analysis, 1nd Ed. Publishing Company of TsingHua University, Beijing, 1999, 19～22
[257] Smith A. R., Color gamut transform pairs, Computer Graphics, 1978, 12: 12～19
[258] Mei-Chun Lo, M. R. Luo, P. A. Rhodes, Evaluating Colour Model’s Performance between Monitor and Print Images, Color Res. Appl., 1996, 21: 277～291
[259] T. C. Hseue, Y. C. Shen, P. C. Chen, W. H. Hsu, Y. T. Liu, Cross-Media Performance Evaluation of Color Models for Unequal Luminance Levels and Dim Surround, Color Res. Appl., 1998, 23: 169～177
[260] Luo M. R, Rigg B., BFD (l:c) Colour-Difference formula, PartⅠ—Development of the formula, J. Soc. Dyers Col., 1987, 103: 86～94
[261] Luo M. R, Rigg B., BFD (l:c) Colour-Difference formula, PartⅡ—Performance of the formula, J. Soc. Dyers Col., 1987, 103: 126～132
[2] Kang H R. Color Scanner Calibration. Journal of Imaging science and technology, 1992, 36(2): 162～170
[3] Gordon J J. On the Use of Linear Transformations for Scanner Calibration. Color Res. Appl. 1993, 18(3): 218～228
[4]杨晓宏.电视系统中正确的彩色重现与摄像机的光谱响应特性.电视技术, 1995, 2
[5] Zhu Ziming. Color Pattern Recognition in an Image System with Chromatic Distortion. Optical Engineering, 1994, 33(9): 3047～3051
[6]廖宁放,石俊生,曾华等.传统CRT色度预测模型的相干误差分析.光学学报, 2000, 20(1): 133～138
[7] Berns R S and Motta R J, CRT Colorimetry. Color Res. Appl, 1993, 18(5): 299～325
[8] Kulube H M and Hawkyard C J. Predicting the Colour of Trichromatic Prints. Color Res. Appl, 1995, 20(1): 55～61
[9] Zwinkels J C. Colour-measuring instruments and their calibration. Displays, 1996, 16(4): 163～171
[10] Berns R S. Methods for characterizing CRT displays. Displays, 1996, 16(4): 173～182
[11] Johnson T. Methods for Characterizing Colour Scanners and Digital Cameras. Displays, 1996, 16(4): 183～191
[12] Barco L J. Consideration on Calibration of Color Displays Assuming Constant Channel Chromaticity. Color Res. Appl, 1995, 20(6): 377～387
[13] Fairman H S. How the CIE 1931 Color-Matching Functions WereDerived from Wright-Guild Data. Color Res. Appl., 1997, 22(1): 11～15
[14] Hunt R W G. The Reproduction of Color in Photography, Printing, & Television (4th Ed.). Fountain Press, 1987
[15] Fairchild M D. Color appearance model. U.S.A: Addison-Wesley, 1998
[16] Norimichi Tsumura, Kunlaya Cherdhirunkorn, Daisuke Nakao et al. Spectral Based Color Reproduction for E-commerce with High Compatibility. IS&T/SID Tenth Color Imaging Conference, 2002, 246～249
[17] Rosen M, Imai F, Jiang X, and Ohta N. Spectral Reproduction from Scene to Hardcopy II: Image Processing. 2001, SPIE 4300: 33～41
[18] Bernhard Hill. The History of Multispectral Imaging at Aachen University of Technology. www.ite.rwth-aachen.de
[19]李亨.颜色应用分类辞典.广州:广州教育出版社, 2001, 3
[20] Giorgianni E J and Madden T E. Digital Color Management Encoding Solutions. Addison Wesley, Reading, MA, 1998
[21]钟泽辉,杨辉.如何建立印前色彩管理系统.印刷世界, 2003, 4: 46～48
[22] Hunt R W G, Luo M R, '94北京色度学研讨会特邀报告,北京理工大学颜色科学与工程国家重点专业实验室, 1994
[23] Wyszechi G, Color appearance. Handbook of perception and human performance, Volume 1, Chap. 9.
[24] Robertson A R, A new determination of lines of constant hue, AIC Color 69, Stockholm, 1970, 395～402.
[25] Purdy D M, Spectral hue as a function of intensity, Am. J. Psych. 1931, 43: 541～559.
[26] Hunt R W G, A model of colour vision for predicting colour appearance. Color Res. Appl., 1982, 7(2): 95～112
[27] Hunt R W G, Pointer M R, A colour-appearance transform for the CIE1931 standard colorimetric observer. Color Res. Appl., 1985, 10(3): 165～179
[28] Hunt R W G, A model of colour vision for predicting colour appearance in various viewing conditions. Color Res. Appl., 1987, 12(6): 297～314
[29] Hunt R W G, Revised colour-appearance model for related and unrelated colours. Color Res. Appl., 1991, 16(3): 146～165
[30] Hunt R W G, An improved predictor of colourfulness in a model of colour vision. Color Res. Appl., 1994, 19(1): 23～26
[31] Hunt R W G, Luo M R, Evaluation of a model of colour vision by magnitude scalings: Discussion of collected results. Color Res. Appl., 1994, 19(1): 27～33
[32] Nayatani Y, Takahama K, Sobagaki H, Formulation of a nonlinear model of chromatic adaptation, Color Res. Appl., 1981, 6(3): 167～171
[33] Takahama K, Sbagaki H, Nayatani Y, Formulation of a nonlinear model of chromatic for a light- grey background, Color Res. Appl., 1984, 9(2): 106～115
[34] Nayatani Y, Hashimoto K, Takahama K, et al. A nonlinear color-appearance model using Estevez- Hunt-Pointer primaries, Color Res. Appl., 1987, 12(5): 231～242
[35] Nayatani Y, Takahama K, Sobagaki H and Hashimoto K, Color appearance model and chromatic- adaptation transform. Color Res. Appl., 1990, 15(4): 210～221
[36] Nayatani Y, Sobagaki H, Hashimoto K, et al. Lightness dependency of chroma scales of a nonlinear color-appearance model and its latest formulation. Color Res. Appl., 1995, 20(3): 156～167
[37] Fairchild M D, Visual evaluation and evolution of the RLAB color space, The Second IS&T/SID Color Imaging Conference: Color Science and Application, 1994, 9～13
[38] Luo M R, Lo M C, Kuo W G, The LLAB (l:c) colour model, Color Res. Appl., 1996, 21: 412～429.
[39] MacDonald L W, Luo M R, and Scrivener S A R. Factors affecting the appearance of coloured images on a video display monitor. J. Photogr.Sci. 1990, 38: 177～186
[40] Kim T G, Berns R S, and Fairchild M D. Comparing appearance models using pictorial images. Proc. 72-IS&T and SID’s Color Imaging Conference: Transforms and Transportability of Color, 1993, 72～77
[41] Beretta G, Is color appearance matching necessary? 1994, SPIE 2171: 220～227
[42] Katoh N, Practical method for appearance match between soft copy and hard copy. 1994, SPIE 2170: 170～181
[43] Braun K M and Fairchild M D. Evaluation of five color appearance transforms across changes in viewing conditions and media. Proc. IS&T/SID Third Color Imaging Conference, 1995, 93～96
[44] Braun K M, Fairchild M D, and Alessi P J. Viewing techniques for cross-media image comparisons. Color Res. Appl. 1996, 21(1): 6～17
[45] Lo M C, Luo M R, and Rhodes P A. Evaluating colour models’performance between monitor and print images. Color Res. Appl., 1996, 21(4): 277～291
[46] Braun K M and Fairchild M D. Psychophysical generation of matching images for cross-media reproduction. Proc. IS&T and SID’s 4th Color Imaging Conference: Color Science, Systems, and Applications, 1996, 214～220
[47] Braun K M and Fairchild M D. Testing five color appearance models for changes in viewing conditions. Color Res. Appl., 1997, 22(3): 165～173
[48] Hseue Tung-Chang, Shen Yu-Chuan, and Chen Po-Chi et al. Cross-Media Performance Evaluation of Color Models for Unequal Luminance Levels and Dim surround. Color Res. Appl., 1998, 23(3): 169～177
[49] Alessi P. J., CIE guidelines for coordinated research on evaluation of colour appearance models for reflection print and self-luminous]. Color Res. Appl., 1994, 19(1): 48～58
[50] Luo M R, Hunt R W G, The structure of the CIE 1997 ColourAppearance Model, Color Res. Appl., 1998, 23(3): 138～146
[51] Hiroaki Sobagaki, Tadashi Yano, et al. On the field trials of CIECAM97s and its model structure, Color Res. Appl., 1999, 24(6): 439～456
[52] Fairchild M D. A Revision of CIECAM97s for Practical Applications, Color Res. Appl., 2001, 26(6): 418～427
[53] Li Changjun, Luo M. R, Hunt R W G, Nathan Moroney, Mark D. Fairchild, Todd Newman. The Performance of CIECAM02. IS&T/ISD’s Tenth Color Imaging Conference, Color Science and Engineering:System Technologies and Applications,Scottsdale, Arizona,November 12～15, 2002
[54] Moroney N, Fairchild M D, Hunt R W G, Li Changjun, Luo M R,Newman T. The CIECAM02 Color Appearance Model, IS&T/ISD’s Tenth Color Imaging Conference, Color Science and Engineering:System Technologies and Applications,Scottsdale, Arizona,November 12～15, 2002
[55] Pattanai k S N, Ferwerda J A, Fairchild M D, and Greenberg D P. A multiscale model of adaptation and spatial vision for Image Display. Proceedings of SIGGRAPH 98, 1998, 287～298
[56] Pattanaik S N, Fairchild M D, Ferwerda J A, and Greenberg D P, Multiscale Model of Adaptation, Spatial Vision, and Color Appearance. IS&T/SID 6th Color Imaging Conference, Scottsdale, 1998, 2～7
[57] Johnson G M and Fairchild M D, Sharpness Rules, IS&T/SID 8th Color Imaging Conference, Scottsdale, 2000
[58] Braun G J, Ebner F, and Fairchild M D, Color Gamut Mapping in a Hue-Linearized CIELAB Color Space, IS&T/SID 6th Color Imaging Conference, Scottsdale, 1998, 163～168
[59] Ebner F, and Fairchild M D, Development and Testing of a Color Space (IPT) with Improved Hue Uniformity, IS&T/SID 6th Color Imaging Conference, Scottsdale, 1998, 8～13
[60] Fairchild M D and Johnson G M, Meet iCAM: A next-generation color appearance model, IS&T/SID 10th Color Imaging Conference, Scottsdale, 2002, 33～38
[61] Fairchild M D and Johnson G M. Image Appearance Modeling. Proceedings of SPIE/IS&T Electronic Imaging, 2003,SPIE 5007 149～160
[62] Fairchild M D and Johnson G M. iCAM framework for imaging appearance, differences and quality. Journal of Electronic Imaging, 2004, 13(1): 126～138
[63] Morovic J, Luo M R. Two unsolved problems in colour management—colour appearance and gamut mapping. Proc of 5th International Conference on High Technology, 1996, 136～147
[64] Luo M R, Hunt R W G. The structures of the CIE1997 colour appearance model (CIECAM97s). Color Res. Appl., 1998, 23(3): 138～146
[65] Li C, Luo M R, Hunt R W G. The CIECAM97s model. Proc of 7th IS&T/SID Seventh Color Imaging Conference, 1999, 262~263
[66] Sueeprasan S, Luo M R and Rhodes P A. Investigation of Colour Appearance Models for Illumination Changes across Media. Color Res. Appl., 2001, 26(6): 428～435
[67] Cheng Fang-Hsuan; Yang Chih-Yuan, Color reproduction system based on color appearance model and gamut mapping. 2000, SPIE 4080: 167～178
[68] Wyble D R, Fairchild M D. Prediction of Munsell appearance scales using various color-appearance models. Color Res. Appl., 2000, 25(2): 132～144
[69] Matsushiro N; Kurabayashi K. 3D stereo color imaging system based on color appearance model. 2000, SPIE 3963: 271～280
[70] Mahadev S; Henry R C. Application of a color appearance model to vision through atmospheric haze. Color Res. Appl., 1999, 24(2): 112～120
[71] Marini D, Rizzi A R. Color Appearance for Photorealistic Image Synthesis. 2001, SPIE 4300: 208～215
[72] Huan H, Li W, and Zhao D Z. New Color-difference Formula Based on CIECAM97s. Journal of Beijing Institute of Technology (English Edition), 2001, 10(2): 149～152
[73] Braun K M., Fairchild. Psychophysical Generation of Matching Images for Cross-Media Color Reproduction. Journal of the Society for Information Display, 2000, 8(1): 33～44
[74] Kim Jin-Seo, Cho Maeng-Sub. Applying CIECAM97s in a Color management System. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 11 Oct. 2000, 1524～1528
[75] Mojsilovic A, Hu J Extraction of Perceptually Important Colors and Similarity Measurement for Image Matching. IEEE International Conference on Image Processing, 2000, 1: 61～64
[76] Berns B S, Choh Heui-Keun. Cathode-ray-tube to Reflection-print Matching under Mixed Chromatic Adaptation Using RLAB. Journal of Electronic Imaging, 1995, 4(4): 347～359
[77] CIE TC1-34. The CIE 1997 Interim Colour Appearance Model (Simple Version), CIECAM97s. April 1998. http://www.colour.org
[78] CIE Publication 131, The CIE 1997 Interim Colour Appearance Model (simple version), CIECAM97s, 1998.
[79] Moroney N, A comparison of CIELAB and CIECAM97s, Proceeding of the Sixth Color Imaging Conference: Color Science, Systems and Applications, 17～21, 1998.
[80] Newman T. and Pirrotta E., The darker side of color appearance models and gamut mapping, Colour Image Science 2000, University of Derby, 2000, 215～223
[81] Li C J, Luo M R, and Hunt R W G, A revision of the CIECAM97s Model, Color Res. Appl., 2000, 26: 418～427
[82] Sid-A hmed M A, Selective color adjustment using a neural network as acolor classifier, IEEE, 1996, 1460～1463
[83] Cho Maeng-Sub, Kang Byoung-Ho, Device calibration of a color image scanner digitizing system by using neural networks, IEEE, 1995, 59～62
[84] Coutney S M, Leif H. Finkel and Gershon Buchsbaum, A multistage neural network for color constancy and color induction, IEEE Transactions on Neural Networks, 1995, 6(4): 972～985
[85] Shastri V, Rabelo L C, Onjeyekwe E, Device-independent color correction for multi- media applications using neural networks and adductive modeling approaches, IEEE, 1996, 2176～2181
[86] Arai Y, Makauchi S and Usui S. Color correction method based on the spectral reflectance estimation using a neural network, Proc. of the Fourth IS&T/SID Color Imaging Conference, 1996, 5～9
[87] Tatsumi Watanabe, Akio Kojima, Yasuhiro Kuwahara and Toshiharu Kurosawa, IEEE, 2001, 553～556
[88] Boldrin E, Effective and efficient mapping of colour appearance, Color Res. Appl., 1997, 22: 308～317
[89] Campadelli P, Gangai C, Schettini R, Learning Color-appearance models by means of feed forward neural networks, Color Res. Appl. 1999, 24(6): 411～421
[90] Xin J H et al. Colour-Appearance Modeling Using feed-forward networks with Bayesian regularization method—PartⅠ: Forward Model, Color Res. Appl. 2000, 25(6): 424～434
[91] John X H et al. Colour-Appearance Modeling Using feed-forward networks with Bayesian regularization method—PartⅡ: Backward Model, Color Res. Appl. 2002, 27(2): 116～121
[92] Schettini R, Approximating the CIECAM97s color appearance model by means of neural networks, Image and Vision Computing, 2001, 19(9-10): 691～697
[93]周双全,赵达尊. Neural network method for characterizing video cameras. 1998, SPIE 3561: 62～68
[94] Zhou S Q, Zhao D Z Neural Network Method for Colorimetry Calibration of Video Cameras. Journal of Beijing Institute of Technology (English Edition), 2000, 9(1):31～36
[95] Post D L. An evaluation of methods for producing desired colors on CRT. Color Res. Appl. 1989, 14:172
[96] Hung P C. Colormetric calibration in electronic imaging devices using a look-up table model and interpolations. Journal of Electronic Imaging, 1993, 2(1):53
[97] Chang P R, Tai C C, Yeh B F. Model-Reference Color Reproduction for Video System. 1994, SPIE 2170:182
[98]廖宁放,基于神经网络的CRT色度变换方法:[学位论文],北京:北京理工大学,1999
[99] Fairchild M D, Color Appearance Models, Chapter 6, color appearance phenomena, 133～136, Addison-Wesley, Reading, MA 1998
[100] Nayatani Y, Some modifications to Hering’s opponent-colors theory, Color Res. Appl. 2001, 26: 290～304
[101] Nayatani Y, A modified opponent-colors theory considering chromatic strengths of various hues, Color Res. Appl. 2003, 28: 284～297.
[102] Nayatani Y, Proposal of an opponent-colors system based on color-appearance and color-vision studies, Color Res. Appl. 2004, 29: 135～150
[103] Wyszecki G, Current developments in colorimetry, AIC color 73, 1997, 21～51
[104] Hering E, Outlines of a theory of the light sense, Harvard Univ. Press, Cambridge, Mass, 1920 (trans. by L. M. Hurvich and D. Jameson, 1964)
[105] Evans R M, An Introduction to Color, John Wiley & Sons, New York, N. Y., 1948
[106] Albers J, Interaction of Color, Yale University Press, New Haven, Conn., 1963
[107] Hurvich L M, Color vision, Sinauer Associates, Sunderland, Mass., 1981
[108] Blackwell K T and Buchsbaum G, The effect of spatial and chromatic parameters on chromatic induction, Color Res. Appl., 1988a, 13(2): 166～173
[109] Boynton R M, Human Color vision, Optical Society of America, Washington, D. C., 1979.
[110] Hunt R W G, Hue shifts in unrelated and related colours, Color Res. Appl., 1989, 12: 235～239
[111] Cornelissen E W and Brenner E, Simultaneous colour constancy revisited: An analysis of viewing strategies, Vision Research, 1995, 35: 2431～2448
[112] Semmelroth C C, Prediction of lightness and brightness on different backgrounds, J. Opt. Am., 1970, 60: 1685～1689
[113] Chevreul M E, The Principles of Harmony and Contrast of Colors (1839). Reprinted, Van Nostrand Reinhold, New York, N. Y., 1967
[114] Bressan P, Revisitation of the luminance conditions for the occurrence of the achromatic neon color spreading illusion, Perception & Psychophysics, 1993, 54: 55～64
[115] Hunt R W G, Light and dark adaptation and the perception of color, J. Opt. Soc. Am., 1952, 42: 190～199
[116] Stevens J C and Stevens S S, Brightness functions: Effects of adaptation, J. Opt. Soc. Am., 1963, 53: 375～385
[117] Helmholtz H V, Handbuch der physiologischen Optick, 1st Ed. Voss, Hamburg, 1866.
[118] Helson H, Fundamental problems in color visionⅠ. The principle governing changes in hue, saturation, and lightness of non-selective samples in chromatic illumination, J. Exp. Psych., 1938, 23: 439～477
[119] Bartleson C J and Breneman E J, Brightness perception in complex fields, J. Opt. Soc. Am., 1967, 57: 953～957
[120] Brill M H and West G, Chromatic adaptation and color constancy: A possible dichotomy, Color Res. Appl., 1986, 11: 196～227
[121] Zmura M D and Lennie P, Mechanisms of color constancy, J. Opt. Soc. Am., 1986, A3: 1662～1672
[122] Finlayson G D, Drew M S, and Funt B V, Spectral sharpening: Sensor transformations for improved color constancy, J. Opt. Soc. Am., 1994a, A11: 1553～1563
[123] Finlayson G D, Drew M S, and Funt B V, Color constancy: Generalized diagonal transforms suffice, J. Opt. Soc. Am., 1994b, A11: 3011～3019
[124] Braun K M, Fairchild M D, Testing five color-appearance models for changes in viewing conditions, Color Res. Appl., 1997, 22(3): 165～173
[125] Kries J V, Chromatic Adaptation, Festscbrift der Albrecbt-Ludwig- Universit?t (Fribourg), 1902. (Translation: D. L. MacAdam, Sources of Color Science, MIT Press, Cambridge, Mass., 1970)
[126] Nayatani Y, Takahama K, and Sobagaki H, Estimation of adaptation effects by use of a theoretical nonlinear model, Proceedings of the 19th CIE Session, Kyoto, Japan (1979), CIE Publ. No. 5, 1980, 490～494
[127] MacAdam D L, A nonlinear hypothesis for chromatic adaptation, Vision Research, 1961, 1: 9～41
[128] Stevens J. C. and Stevens S. S., Brightness functions: Effects of adaptation, J. Opt. Soc. Am. 1963, 53: 375～385
[129] Nayatani Y, Takahama K, Sobagaki H and Hirono J, On exponents of a nonlinear model of chromatic adaptation, Color Res. Appl., 1982, 7: 34～45
[130] Nayatani Y, Hashimoto K, Takahama K, and Sobagaki H, A nonlinear color-appearance model using Estévez-Hunt-Pointer Primaries, Color Res. Appl., 1987, 12: 231～242
[131] Guth S L, Model for color vision and light adaptation, J. Opt. Soc. Am.1991, A230: 149～187
[132] Guth S L, Further applications of the ATD model for color vision, 1995, SPIE 2414, 12～16
[133] Fairchild M D, A model of incomplete chromatic adaptation, Proceedings of the 22nd Session of the CIE, Melbourne, 1991a, 33～34
[134] Fairchild M D, Formulation and testing of a chromatic adaptation model, Color Res. Appl., 1991b, 16: 243～250
[135] Takahama K, Sobagaki H, and Nayatani Y, Analysis of chromatic adaptation effect by a linkage model, J. Opt. Soc. Am., 1977, 67: 651～656
[136] Alessi P J, Billger M, Bodrogi P, et al. Chromatic adaptation under mixed illumination condition when comparing softcopy and hardcopy images, COMMISSION INTERNATIONAL DE L’ECLAIRAGE international commission on illumination international Beleuchtungskommission Technical Report, 2004
[137] Katoh N, Nakabayashi K, ITO M and Ohno S, Effect of ambient light on the color appearance of softcopy images: Mixed chromatic adaptation for self-luminous displays, J Elec. Imaging, 1998, 7: 794～806
[138] Katoh N, Practical method for appearance match between soft copy and hard copy, 1994, SPIE 2170, 170～181
[139] Katoh N, Nakabayashi K, Effect of ambient light on color appearance of soft copy images, Proc. AIC Color 97 Kyoto, 1997, 2: 582～585
[140] Berns R S and Choh K H, Cathode-ray-tube to reflection print matching under mixed chromatic adaptation using RLAB, J. Elec. Imaging, 1995, 4: 347～359
[141] Shiraiwa Y, Hidaka Y, Mizuno T, Sasaki T, Ohta K and Usami A, Color appearance matching in hardcopy and soft-copy images in different office environments, Proc. SPIE, 3300, 1998, 148～158
[142] S. A. Henley and M. D. Fairchild, Quantifying mixed adaptation incross-media color reproduction, Proc. IS&TISID Color imaging Conf., 2000, 8: 305～310
[143] http://www.colour.org/tc8-04/Experiment guideline.html.
[144] K. M. Braun, M. D. Fairchild, P. J. Alessi, Viewing techniques for cross-media image comparisons, Color Res. Appl., 1996, 21(1): 6～17
[145] P. J. Alessi, CIE guidelines for coordinated research on evaluation of colour appearance models for reflection print and self-luminous display image comparison, Color Res. Appl., 1994, 19: 48～58
[146] S. M. Newhall, R. W. Burnham, and J. R. Clark, Comparison of successive with simultaneous color matching, J. Opt. Soc. Am., 1957, 47: 43～56
[147] R. W. G. Hunt and L. M. Winter, Colour adaptation in picture-viewing situations, J. Phot. Sci., 1975, 23: 112～115
[148] M. D. Fairchild, E. Pirrotta, and T. Kim, Successive-Ganzfeld haploscopic viewing technique for color-appearance research, Color Res. Appl., 1994, 19: 214～221
[149] W. D. Wright, The measurement and analysis of color adaptation phenomena, Proc. Roy. Soc. (London), 1934, 115B: 49～87
[150] W. D. Wright, Why and how chromatic adaptation has been studied, Color Res. Appl., 1981, 6: 147～152
[151] J. Von Kries, Chromatic adaptation, Festschrift der Albrecht-Ludwig-Universi -t?t, 1902
[152] Colorimetry, 2nd Ed, CIE Publ. No. 15.2, Central Bureau of the CIE, Paris, 1986
[153] CIE Tc8-01, Color appearance models for color management systems, Draft No.7, 2002, P5
[154] G. Wyszecki, Color appearance, Chapter 9 in Handbook of Perception and Human Performance, John Wiley & Sons, New York, N.Y. 1982
[155] Hunt R W G, Terms and formulae for specifying colour appearance, Color 77, 321～330
[156] Luo M. R., Rhodes P. A. Using the LUTCHI color appearance data. http://colour.derby.ac.uk/color, 2001.
[157] Luo M. R., Clarke A. A., Rhodes P. A., et al. Quantifying color appearance. PartⅠ. LUTCHI color appearance data. Color Res. Appl., 1991, 16: 166～180
[158] Luo M. R., Clarke A. A., Rhodes P. A., et al. Quantifying color appearance. PartⅡ. Testing color models performance using LUTCHI color appearance data. Color Res. Appl., 1991, 16: 181～197
[159] Fairchild M. D., Berns R. S., Imaging Color-appearance specification through extension of CIELAB, Color Res. Appl., 1993, 18(3): 178～190
[160]徐红,非相关色及中间视觉条件下的色貌模型的评价研究:[学位论文],北京:北京理工大学,1996.
[161] CIE TC1-34. The CIE 1997 Interim Colour Appearance Model (Simple Version), CIECAM97s. April 1998. http://www.colour.org
[162] Kim, Jin-Seo, Cho and Maeng-Sub. Applying CIECAM97s in a Color Management System. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 11 Oct. 2000, 1524～1528
[163] Changjun Li, M. Ronnier Luo and Robert W. G. Hunt et al. The Performance of CIECAM02. IS&T/SID Tenth Color Imaging Conference, 2002, 28～32
[164] Abramov, J. Gordon, and H. Chan, Color appearance across the retina: Effects of a white surround, J. Opt. Soc. Am, A9, 1992, 195～202
[165] Hunt R. W. G., The reproduction of Colour, 5th Ed., Fountain Press, England, 1995.
[166] K. M. Braun and M. D. Fairchild, Evaluation of five color-appearance transforms across changes in viewing conditions and media, IST/SID 3rd Color imaging Conference, Scottsdale, Ariz., 1995, 93～96
[167] K. M. Braun and M. D. Fairchild, Testing five color appearance modelsfor changes in viewing conditions, Color Res. Appl. 1997a, 21: 165～173
[168] C. J. Bartleson and E. J. Breneman, Brightness perception in complex fields. J. Opt. Soc. Am., 1967, 57: 953～957
[169] M. D. Fairchild, Considering the surround in device independent color imaging, Color Res. Appl., 1995b, 20: 352～363
[170] R. W. G. Hunt, M. R. Pointer, A colour-appearance transform for the 1931 standard colorimetric observer, Color Res. Appl., 1985, 10: 165～179
[171] Evans R. M., Visual process and color photography, J. Opt. Soc. Am., 1943, 33: 579～614
[172] J. Von Kries, Die Gesichtsempfindungen, in Handbuch der physiologie des Menschen, Vol.Ш. Braunschweig, Vieweg. 1902, 109～182
[173] J. Von Kries, Chromatic adaptation, Festschrift der Albrecht- Ludwig-Universit?t (Fribourg), 1902. [Translation: D. L. MacAdam, Sources of Color Science, MIT Press, Cambridge, Mass. 1970].
[174] Hunt R. W. G., Reversing the Bradford chromatic adaptation transforms, Color Res. Appl., 1997, 22: 235～356
[175] Mori L, Sobagaki H, Komatsubara H, Ikeda K., Field trials on CIE chromatic adaptation formula, in Proceedings of the CIE 22nd session, 1991, 55～88
[176] Kuo W. G., Luo M. R., Bez H. E., Various chromatic adaptation transforms tested using new colour appearance data in textiles, Color Res. Appl., 1995, 20: 313～327
[177] Lam K. M., Metamerism and colour constancy [DPhil thesis], University of Bradford, 1985
[178] Helson H., Judd D. B., Warren M. H., Object-color changes form daylight to incandescent filament illumination, Illum. Eng., 1952, 47: 221～233
[179] Breneman E. J., Corresponding chromaticities for different states ofadaptation to complex visual fields, J Opt. Soc. Am., 1987, 4A: 1115～1129
[180] Braun K. M., Fairchild M. D., Psychophysical generation of matching images for cross-media color reproduction, Proceedings of the 4th Color Imaging Conference, Springfield, VA: IS&T, 1996, 214～220
[181] McCann J. J., McKee S. P., and Taylor T. H., Quantitative studies in Retinex theory: a comparison between theoretical predictions and observer responses to the“color mandarin”experiments, Vision Res., 1976, 16: 445～458
[182] Li C. J., Luo M. R., Rigg B., Hunt R. W. G., CMC2000 chromatic adaptation transform: CMCCAT2000, Color Res. Appl., 2002, 27(1): 49～58
[183] S. Susstrunk, J. Holm, and G. D. Finlayson, Chromatic adaptation performance of different RGB sensors, IS&T/SPIE Electronic Imaging, 2000, SPIE 4300, 172～183
[184] G. D. Finlayson and S. Süsstrunk, Performance of a chromatic adaptation transform based on spectral sharpening, Proc. of IS&T/SID 8th Color Imaging Conference, 2000, 49～55
[185] G. D. Finlayson, P. Morovic, Is the sharp adaptation transform more plausible than CMCCAT2000? Proc. 9th IS&T/SID Color Imaging Conference, 2001, 310～315.
[186] A. J. Calabria, M. D. Fairchild, Herding CATs: a comparison of linear chromatic-adaptation transforms for CIECAM97s, Proc. 9th IS&T/SID Color Imaging Conference, 2001, 174～177
[187] J. M. Valeton, D. Van Norren, Light adaptation of primate cones: an analysis based on extracellular data, Vision Res., 1983, 23: 1539～1547
[188] Seim T and Valberg A., Towards a uniform color space: a better of formula to describe the Munsell and OSA color scales, Color Res. Appl., 1986, 11: 11～24
[189] L. Michaelis, Mand L. Menten, Die kinetic der Invertinwerkung, Biohemische Zeitschrift, 1913, 49
[190] C. J. Bartleson and E. J. Breneman, Brightness perception in complex fields. J. Opt. Soc. Am., 1967, 57: 953～957
[191] M. D. Fairchild and G. M. Johnson, Meet iCAM: A next-generation color appearance model, IS&T/SID 10th Color Imaging Conference, Scottsdale, 2002, 33～38
[192] MacDonald L, Developments in colour management systems. Crosfield Electronics Ltd, July 1995
[193]袁增任,人工神经元网络及其应用,北京:清华大学出版社,1999,10
[194]程相君,王春宁,陈生潭.神经网络原理及其应用,北京:国防工业出版社,1995
[195] E. Boldrin, R. Schettini, Faithful cross-media color matching using neural networks, Pattern Recognition, 1999, 32: 465～476
[196] P. Campadelli, C. Gangai, R. Schettini, Learning Color-appearance models by means of feed forward neural networks, Color Res. Appl. 1999, 24(6): 411～421
[197] John H. Xin et al. Colour-Appearance Modeling Using feed-forward networks with Bayesian regularization method—PartⅠ: Forward Model, Color Res. Appl. 2000, 25(6): 424～434
[198] John H. Xin et al. Colour-Appearance Modeling Using feed-forward networks with Bayesian regularization method—PartⅡ: Backward Model, Color Res. Appl. 2002, 27(2): 116～121
[199] R. Schettini, Approximating the CIECAM97s color appearance model by means of neural networks, Image and Vision Computing, 2001, 19(9-10): 691～697
[200] E. Boldrin, R. Schettini, Faithful cross-media color matching using neural networks, Patten Recognition, 1999, 32: 465～476
[201] J. M. Bishop, et al. Application of neural networks to computer recipe prediction, Color Res. Appl. 1991, 16(1): 3～9
[202] Shiro Usui, Shigeki Nakauchi, Masae Nakano, Reconstruction of Munsell color space by a five-layer neural network, J. Opt. Sot. Am., 1992, A/9(4): 516～520
[203] Shoji Tominaga, Color notation conversion by neural networks, Color Res. Appl. 1993, 19(4): 253～259
[204] Hong Yan, Jing Wu, Character and line extraction from color map images using a multi-layer neural network, Patten Recognition Letters, 1994, 5(1): 97～103
[205] Yoshi fumi Arai, Yasuo Miyamoto et al. Device-and-illuminant independent color reproduction using principal component analysis and neural networks, 1995, SPIE 2414:115～122
[206] Steven R. Skinner, Elizabeth C. Behrman, et al. Neural network implementation using self-lensing media, Applied Optics, 1995, 34(20): 4129～4135
[207] R. Schettini, et al. Colorimetric calibration of color scanners by back propagation, Pattern Recognition Letters, 1995, 16: 1051～1056
[208] Shoji Tominaga, Color control using neural networks and its application, 1996, SPIE 2658:253～260
[209] Zhou Shuangquan, Zhao Dazun, Neural network method for characterizing video cameras, 1998, SPIE 3561: 62～68
[210] Hansj?rg Künzli et al. Prediction of colorimetric measurements in newspaper printing using neural networks, 1998, SPIE 3648:11～17
[211] Shoji Tominaga, Color control of printers by neural network, Electronic Imaging, 1998, 7(3): 664～671
[212] L. V. Cheung, S. Westland, Color camera characterization using artificial neural networks, IS&T/SID’s Tenth Color Imaging Conference. Color Science and Engineering: System Technologies and Applications. Scottsdale, Arizona, November 12~15, 2002
[213] Liao Ningfang, Gao Zhiyun, A comparative study of a CRT colorimetric prediction model by neural networks and the models byconventional method, Color Res. Appl. 1999, 24(1): 1～7
[214] Liao Ningfang, Shi Junsheng, Yang Weiping, Improved training-set distribution model for the training of BP neural networks in CRT color conversion, 2002, SPIE 4922:155～158
[215]周双全,赵达尊.基于BP网络的打印色彩控制技术,光学技术, 1999, 5: 22～27
[216]杨卫平.跨媒体颜色复制技术简化研究:[学位论文].北京:北京理工大学, 2005
[217]黄庆梅.彩色图像复制及色域映射技术的研究:[学位论文].北京:北京理工大学, 2002
[218] Simon Haykin,叶世伟,史忠植译.神经网络原理.北京:机械工业出版社, 2004, 123, 145
[219] E. Coates, K. Y. Fong, B. Rigg, Uniform lightness scales. J Soc Dyers Col 1981; 97: 179～183
[220] M. R. Luo, Using the LUTCHI colour appearance data, Color Res. Appl., 1997, 22(6): 414～417
[221] S. McCamy, H. Marcus, J. G. Davidson, A color-rendition chart, Journal of application photo Engineering, 1976, 2: 95～99
[222] Wang Daheng, Jing Qicheng, Sun xiuru, Lin Zhiding, and Zhang Jiaying, The Chinese color system, Acta Psychologica Sinica, 1997, 29(3): 225～233
[223]宦辉,基于CIECAM97s的均匀色空间:[学位论文].北京:北京理工大学, 2000
[224] P. J. Alessi, CIE guidelines for coordinate research on evaluation of colour appearance models for reflection print and self-luminous display image comparison, Color Res. Appl., 1994, 19: 48～58
[225] A. Hard and L. SIvik, NCS-Natural Color System: A Swedish standard for color notation, Color Res., Appl., 1981, 6: 129～138
[226] A Hard, L. Sivik, G. Tonnquist, NCS natural color system——from concept to research and application, PartⅠ. Color Res. Appl., 1996,21: 180～205
[227] A Hard, L. Sivik, G. Tonnquist, NCS natural color system——from concept to research and application, PartⅡ. Color Res. Appl., 1996, 21: 206～220
[228] E. Hering, Outlines of a theory of light sense, Harvard Univ. Press, Cambridge, Mass. 1920. (Trans. by L. M. Hurvich and D. Jameson, 1964)
[229] M. R. Luo, B. Rigg, Chromaticity-discrimination ellipses for surface colours, Color Res. Appl., 1986, 11:25～42
[230] W. G. Kuo, M. R. Luo, Methods for quantifying metamerism. Part 1—Visual assessment. J Soc Dyers Col, 1996; 112: 312～320
[231] W. G. Kuo, M. R. Luo, Methods for quantifying metamerism. Part 2—Instrumental method. J Soc Dyers Col, 1996; 112: 354～360
[232] S. S. Guan, M. R. Luo. Investigation of parametric effects using small colour differences, Color Res. Appl., 1999; 24: 331～343
[233] H. Yu, Color reproduction and Color prediction from scanner image to print image using back-propagation neural network, 2002; SPIE 4922: 195～198
[234] M. R. Luo, B. Rigg, Chromaticity-discrimination ellipses for surface colours, Color Res. Appl., 1986; 11: 25～42
[235] G. Cui, W. Li, M. R. Luo, Study of the parametric effects in colour-differences evaluation using CRT display, ACTA OPTICA SINICA, 2001; 21: 426～432
[236] M. Cheung, B. Rigg, Colour-difference ellipsoids for five CIE colour centres. Color Res. Appl., 1986; 11: 185～195
[237] W. Schultz, The usefulness of colour-difference formulae for fixing colour tolerances, color metrics. Soesterberg: AIC/Holland; 1972; 245～265
[238] S. S. Guan, M. R. Luo, A colour-difference formula for assessing large colour differences, Color Res. Appl., 1999; 24: 344～355
[239]王选.北大方正电子出版系统最新技术发展.云南印刷, 1994, 4: 14～18
[240]肖建国.北大方正彩色出版系统的技术路线.印刷技术, 1994, 6: 6～10
[241] Durrett H. J. Color and the computer, Academic Press Inc., 1987
[242] Laihanen P. Color Reproduction Theory based on the principles of Color Science. Advances in Printing Science & Technology, 1992, 19(6): 1～36
[243] Carli D. High Fidelity color Electronic Prepress system: Developer/User Survey. TAGA, 1992, 1～12
[244] Xu L. Color space for image Representation for image proceeding, TAGA, 1993, 114～138
[245] Engeldrum P. G. and Ingraham J. L. Analysis of White Point and Phosphor Set Differences of CRT Displays. Color Res. Appl, 1990, 15(3): 151～155
[246]汤顺青.色度学.北京:北京理工大学出版社, 1999, 23
[247] Post D. L. An evaluation of methods for producing desired colors on CRT. Color Res. Appl., 1989, 14: 172
[248]王敬平.计算机控制的CRT真彩色显示技术的研究:[学位论文].北京:北京理工大学, 1994.
[249] Berns R. S. CRT colorimetry PartⅠ: Theory and practive. Color Res. Appl., 1993, 18:299
[250] Berns R. S. CRT colorimetry PartⅡ: Metrology. Color Res. Appl., 1993, 18: 315
[251] Berns R. S. Methods for characterizing CRT displays. Displays, 1996, 16(4): 173～182
[252] Nobuhiko Tamura, Norimichi Tsumura and Yoichi Miyake. Masking Model for Accurate Colorimetric Characterization of LCD. IS&T/SID Tenth Color Imaging Conference, 2002, 312~316
[253] CIE TC8-04. Chromatic adaptation under mixed illumination conditionwhen comparing softcopy and hardcopy images. 2004. Vienna, AUSTRIA: COMMISSION INTERNATIONALE DE L'ECLAIRAGE CIE Central Bureau, ISBN 3901906xxy, http://www.cie.co.at/
[254] Morley D I, Rich R. M, Billmeyer F. W., Small and Moderate Colour difference:Ⅱ. The Morley Data, J. Soc. Dyers Col., 1975, 91:229～242
[255] Robinson F. D., Acceptability of Colour Matches. J. Oil Col. Chem. Assoc., 1969, 52: 15～45
[256] Minjin Zhang, Image processing and analysis, 1nd Ed. Publishing Company of TsingHua University, Beijing, 1999, 19～22
[257] Smith A. R., Color gamut transform pairs, Computer Graphics, 1978, 12: 12～19
[258] Mei-Chun Lo, M. R. Luo, P. A. Rhodes, Evaluating Colour Model’s Performance between Monitor and Print Images, Color Res. Appl., 1996, 21: 277～291
[259] T. C. Hseue, Y. C. Shen, P. C. Chen, W. H. Hsu, Y. T. Liu, Cross-Media Performance Evaluation of Color Models for Unequal Luminance Levels and Dim Surround, Color Res. Appl., 1998, 23: 169～177
[260] Luo M. R, Rigg B., BFD (l:c) Colour-Difference formula, PartⅠ—Development of the formula, J. Soc. Dyers Col., 1987, 103: 86～94
[261] Luo M. R, Rigg B., BFD (l:c) Colour-Difference formula, PartⅡ—Performance of the formula, J. Soc. Dyers Col., 1987, 103: 126～132