基于色貌模型的高保真颜色再现色域映射理论与方法研究
|
摘要
随着数字图像输入、显示和输出技术的发展，数字彩色图像设备在人们日常生活和工业生产中得到了越来越多的应用。但由于数字图像设备的呈色机理、表色空间和色域的不同等诸多因素的影响，导致彩色图像颜色信息在数字图像设备之间传输时经常出现失真而无法实现高保真再现。这影响了如彩色印刷、显示技术、影像分析、计算机辅助设计、远程医疗、电子商务等行业的发展，而现代色彩管理系统中的色域映射技术是解决这一问题的有效方案。目前色彩管理系统规定CIE1931XYZ或CIE1976L*a*b*色彩空间作为映射的标准连接空间，可以保持目标图像与源图像颜色色刺激的一致性。但是，要实现图像颜色的高保真再现，色彩管理的目标应当是保持复制品和原稿在人眼视感觉上的一致，即色貌一致。色貌不仅仅取决于颜色刺激本身，还与观察条件等有关。由于CIE1931XYZ不是色模型，无法预测人眼对颜色的视感觉属性，而CIE1976L*a*b*虽然能够预测一定的视感觉属性，如心理明度、心理色度和色相等，但其空间均匀性不理想、且观察条件固定、色貌预测能力较弱等原因，均无法满足颜色高保真再现和跨媒体颜色再现的要求。因此，为了满足高保真颜色信息再现的要求，提高颜色再现质量，研究基于色貌模型的色域映射理论和方法是十分有必要的。
本文围绕颜色高保真再现中的关键技术——色域映射技术，对色貌及色貌模型、色域映射理论和方法以及高保真颜色再现的实现等做了深入研究。论文的研究工作和创新点主要包括：
(1)分析了高保真颜色传输和再现过程中存在的色貌现象和色貌模型，阐述了色貌模型建立过程中的色度适应变换等，详细研究了CIECAM02色貌模型的计算过程、iCAM图像色貌模型的计算流程。对选用iCAM图像色貌模型作为标准连接空间的优势做了综合分析。
(2)深入研究了目前基于设备-设备的色域映射理论和方法，分析了色域映射研究的内容，包括色域边界的计算、色域映射方向的选择、常用的色域映射方法等。着重研究了色域映射方法中的色域裁切算法和压缩算法，分析了几种典型色域映射方法的特点，着重阐述了CIE推荐的HPMinΔE算法和SGCK算法。
(3)根据色貌模型和色域映射基本原理和方法，提出并研究了图像颜色特征属性，将其分为色域特征属性、色度特征属性和色貌特征属性。通过研究发现，对于不同类型的原稿图像，其颜色特征具有明显的不同且对于色域映射意图的适应性也具有较大差异。
(4)深入研究了基于图像-设备的空间域色域映射算法，设计了基于图像-设备的空间域色域映射算法框架，并在该框架内提出了基于双边滤波的空间自适应色域映射算法(BFSAGM)和基于色貌和空间相关的色域映射算法(CASRCGM)。通过设计输出色块并计算其色差，与CIE推荐的HPMinΔE和SGCK算法进行了比较，结果表明本论文提出的两种算法在映射精度和色貌保持方面优于CIE推荐的HPMinΔE和SGCK算法，但在计算复杂度和时间上比其要复杂的多。
(5)针对高保真颜色再现的需要，研究了多种扩大目标色域的方法，并将这些方法分为硬件方法和软件方法，提出了影响目标色域拓展的因素，设计了基于空间域色域映射算法模型，并对其进行了实验分析。实验结果表明可以根据高保真颜色再现的具体要求采用软件方法和采用硬件方法相结合的方式拓展目标色域，以提高颜色信息高保真再现的效率。
最后，对本文的主要内容以及所取得的主要研究成果进行概括性总结，并对今后的进一步研究工作进行了展望。
Digital color image equipments play a more and more important role in people’s dailylife and industrial production with the development of digital image capturing, displaying andoutputting technologies. However the high fidelity color information reproduction can’t beperformed because the color generation mechanisms, device color spaces and color gamuts ofcolor image equipments are different. As a result, the developments of numerous techniques,such as color printing technique, displaying technique, image analysis technique, computeraided design (CAD), remote medical technique and electronic commerce technique areaffected. Fortunately, color gamut mapping technique of modern color management system isone of the most important techniques to solve the color distortion problems in colorreproduction area. CIE1931XYZ color space and CIE1976L*a*b*color space are proposedas the standard profile connection space (PCS) to keep the color stimulus consistent betweenthe original image and destination image. As the perception of color information wouldchange with different viewing conditions, so the objective of color management system andhigh fidelity color reproduction is to keep the color appearance consistent more than to keepcolor stimulus consistent. CIE1931XYZ color space is not a color appearance model topredict and calculate the perception of color. Although in some occasions CIE1976L*a*b*istaken for a simple color appearance to predict or calculate some perception attributes, such aspsychological lightness, psychological chromaticity and hue, it can’t meet the requirements ofhigh fidelity color reproduction and color cross-media reproduction. Because it has somedisadvantages including spatial nonuniformity, single and settled viewing conditions, weakpredictive ability for color appearance. So it is necessary to study color gamut mapping theoryand method based on color appearance model deeply for high fidelity color reproduction.
The contents about color gamut technique which is the key technique in high fidelitycolor reproduction, such as color appearance&color appearance model, color gamut mappingtheory and method and the implementation of high fidelity color reproduction, are studied indetail in this paper. The main researches can be showed as follows:
(1) Color appearance phenomena and color appearance models of high fidelity colorreproduction were analyzed and the chromatic adaptation was elaborated. The forward calculation model and the inverse model of CIECAM02, and the calculation process of iCAMimage color appearance model were studied in detail. And the selection of iCAM as thestandard profile connection space was analyzed comprehensively.
(2) The color gamut mapping theory and method based on device-to-device were studieddeeply and the research contents including gamut boundary descriptor, the choice of gamutmapping directions, common gamut mapping methods and the influences of mappingfunctions on image contrast were analyzed. Especially, the gamut clipping methods and gamutcompression methods were studied. Furthermore, HPMinΔE algorithm and SGCK algorithmsuggested by CIE were studied.
(3) The image color information characteristics were studied and computed based on themechanisms of color appearance model and color gamut mapping theory. In the paper weclassified the image color information characteristics into three types, i.e., gamutcharacteristic, colorimetry characteristic and color appearance characteristic. Our researchesindicated that the adaptabilities to the gamut mapping intentions were different for variousimages with different color information characteristics.
(4) The gamut mapping theory and method based on image-to-device were studieddeeply and the frameworks for spatial gamut mapping based on image-to-device weredesigned. And in the framework we proposed two methods were developed, i.e., BilateralFiltering Spatial Adaptive Gamut Mapping, BFSAGM, and Color Appearance and SpatialRelated Color Gamut Mapping, CASRCGM. The images of subjective evaluation and colorpatches of objective evaluation were mapped by the two proposed gamut mapping methods,the HPMinΔE and SGCK. The mapping effects were compared comprehensively. The resultsshowed that the two proposed methods were better than HPMinΔE and SGCK in mappingprecision and color appearance preservation, while more complicated and time consuming.
(5) Several methods to extend destination gamut were studied for high fidelity colorprinting. The methods were classified into two types, hard method and soft method. Onespatial color gamut mapping algorithm model was designed and performed. And the factorsaffecting the destination gamut extension were proposed and the related experiments wereperformed. The results showed that the destination gamut could be extended by thecombination of hard methods and soft methods according to the specific requirements of high fidelity color reproduction so that the efficiency of high fidelity color reproduction could beimproved.
At last, we summarized the main contents and innovations and we also look to the futurestudy in the area.
本文围绕颜色高保真再现中的关键技术——色域映射技术，对色貌及色貌模型、色域映射理论和方法以及高保真颜色再现的实现等做了深入研究。论文的研究工作和创新点主要包括：
(1)分析了高保真颜色传输和再现过程中存在的色貌现象和色貌模型，阐述了色貌模型建立过程中的色度适应变换等，详细研究了CIECAM02色貌模型的计算过程、iCAM图像色貌模型的计算流程。对选用iCAM图像色貌模型作为标准连接空间的优势做了综合分析。
(2)深入研究了目前基于设备-设备的色域映射理论和方法，分析了色域映射研究的内容，包括色域边界的计算、色域映射方向的选择、常用的色域映射方法等。着重研究了色域映射方法中的色域裁切算法和压缩算法，分析了几种典型色域映射方法的特点，着重阐述了CIE推荐的HPMinΔE算法和SGCK算法。
(3)根据色貌模型和色域映射基本原理和方法，提出并研究了图像颜色特征属性，将其分为色域特征属性、色度特征属性和色貌特征属性。通过研究发现，对于不同类型的原稿图像，其颜色特征具有明显的不同且对于色域映射意图的适应性也具有较大差异。
(4)深入研究了基于图像-设备的空间域色域映射算法，设计了基于图像-设备的空间域色域映射算法框架，并在该框架内提出了基于双边滤波的空间自适应色域映射算法(BFSAGM)和基于色貌和空间相关的色域映射算法(CASRCGM)。通过设计输出色块并计算其色差，与CIE推荐的HPMinΔE和SGCK算法进行了比较，结果表明本论文提出的两种算法在映射精度和色貌保持方面优于CIE推荐的HPMinΔE和SGCK算法，但在计算复杂度和时间上比其要复杂的多。
(5)针对高保真颜色再现的需要，研究了多种扩大目标色域的方法，并将这些方法分为硬件方法和软件方法，提出了影响目标色域拓展的因素，设计了基于空间域色域映射算法模型，并对其进行了实验分析。实验结果表明可以根据高保真颜色再现的具体要求采用软件方法和采用硬件方法相结合的方式拓展目标色域，以提高颜色信息高保真再现的效率。
最后，对本文的主要内容以及所取得的主要研究成果进行概括性总结，并对今后的进一步研究工作进行了展望。
Digital color image equipments play a more and more important role in people’s dailylife and industrial production with the development of digital image capturing, displaying andoutputting technologies. However the high fidelity color information reproduction can’t beperformed because the color generation mechanisms, device color spaces and color gamuts ofcolor image equipments are different. As a result, the developments of numerous techniques,such as color printing technique, displaying technique, image analysis technique, computeraided design (CAD), remote medical technique and electronic commerce technique areaffected. Fortunately, color gamut mapping technique of modern color management system isone of the most important techniques to solve the color distortion problems in colorreproduction area. CIE1931XYZ color space and CIE1976L*a*b*color space are proposedas the standard profile connection space (PCS) to keep the color stimulus consistent betweenthe original image and destination image. As the perception of color information wouldchange with different viewing conditions, so the objective of color management system andhigh fidelity color reproduction is to keep the color appearance consistent more than to keepcolor stimulus consistent. CIE1931XYZ color space is not a color appearance model topredict and calculate the perception of color. Although in some occasions CIE1976L*a*b*istaken for a simple color appearance to predict or calculate some perception attributes, such aspsychological lightness, psychological chromaticity and hue, it can’t meet the requirements ofhigh fidelity color reproduction and color cross-media reproduction. Because it has somedisadvantages including spatial nonuniformity, single and settled viewing conditions, weakpredictive ability for color appearance. So it is necessary to study color gamut mapping theoryand method based on color appearance model deeply for high fidelity color reproduction.
The contents about color gamut technique which is the key technique in high fidelitycolor reproduction, such as color appearance&color appearance model, color gamut mappingtheory and method and the implementation of high fidelity color reproduction, are studied indetail in this paper. The main researches can be showed as follows:
(1) Color appearance phenomena and color appearance models of high fidelity colorreproduction were analyzed and the chromatic adaptation was elaborated. The forward calculation model and the inverse model of CIECAM02, and the calculation process of iCAMimage color appearance model were studied in detail. And the selection of iCAM as thestandard profile connection space was analyzed comprehensively.
(2) The color gamut mapping theory and method based on device-to-device were studieddeeply and the research contents including gamut boundary descriptor, the choice of gamutmapping directions, common gamut mapping methods and the influences of mappingfunctions on image contrast were analyzed. Especially, the gamut clipping methods and gamutcompression methods were studied. Furthermore, HPMinΔE algorithm and SGCK algorithmsuggested by CIE were studied.
(3) The image color information characteristics were studied and computed based on themechanisms of color appearance model and color gamut mapping theory. In the paper weclassified the image color information characteristics into three types, i.e., gamutcharacteristic, colorimetry characteristic and color appearance characteristic. Our researchesindicated that the adaptabilities to the gamut mapping intentions were different for variousimages with different color information characteristics.
(4) The gamut mapping theory and method based on image-to-device were studieddeeply and the frameworks for spatial gamut mapping based on image-to-device weredesigned. And in the framework we proposed two methods were developed, i.e., BilateralFiltering Spatial Adaptive Gamut Mapping, BFSAGM, and Color Appearance and SpatialRelated Color Gamut Mapping, CASRCGM. The images of subjective evaluation and colorpatches of objective evaluation were mapped by the two proposed gamut mapping methods,the HPMinΔE and SGCK. The mapping effects were compared comprehensively. The resultsshowed that the two proposed methods were better than HPMinΔE and SGCK in mappingprecision and color appearance preservation, while more complicated and time consuming.
(5) Several methods to extend destination gamut were studied for high fidelity colorprinting. The methods were classified into two types, hard method and soft method. Onespatial color gamut mapping algorithm model was designed and performed. And the factorsaffecting the destination gamut extension were proposed and the related experiments wereperformed. The results showed that the destination gamut could be extended by thecombination of hard methods and soft methods according to the specific requirements of high fidelity color reproduction so that the efficiency of high fidelity color reproduction could beimproved.
At last, we summarized the main contents and innovations and we also look to the futurestudy in the area.
引文
[1]林其水.论高保真印刷技术[J].印刷质量与标准化,2008,1:59-63
[2] Steven K. S. The Science of Color[M].2nd. UK: Elsevier,2003:282-314
[3]刘红芳,赵秀萍,金洪勇.图像色貌模型的研究及应用[J].包装工程,2008,28(6):58-60
[4]文帅,蔡轶珩,张新峰等.基于色貌模型的图像颜色校正[J].测控技术,2010,29(5):19-22
[5] Morovic J. Digital Color Imaging Handbook[M]. USA: CRC Press,2003:648-689
[6] Phil Green. Color Management Understanding and Using ICC Profiles[M]. UK: JohnWiley&Sons,2010:7-17
[7] Mark D. F. Color Appearance Models[M]. England: John Wiley&Sons Ltd,2005:127-130
[8]胡威捷,汤顺清,朱正芳.现代颜色技术原理及应用[M].北京:北京理工大学出版社,2007:134-138
[9]廖宁放,石俊生,吴文敏.数字图文图像颜色管理系统概论[M].北京:北京理工大学出版社,2009:168-180
[10]徐海松.颜色信息工程[M].杭州:浙江大学出版社,2005:159-175
[11]周世生.印刷色彩学[M].北京:印刷工业出版社,2005:103-117
[12] Jan Morovic. Color Gamut Mapping[M]. England: John Wiley&Sons Ltd,2008:91-109
[13]洪国敦.色域映射理论应用于显示器色彩调校至研究[D].中国台湾:国立中央大学,1995
[14] Ruetz B. Color Printing Method and Apparatus Using an Out-of-Gamut Color Table[P].USA:5299291,1994
[15] Stokes M. Subjectively Pleasing Color Gamut Mapping in a Color Computer GraphicsSystem[P]. USA:5611030,1997
[16] Stone M. C., Cowan W.B., Beatty J.C. Color Gamut Mapping and the Printing of DigitalColor Image[J]. ACM Transactions on Graphics,1988,7:249-292
[17] CIE Technical Committee8-03. Guidelines for the Evaluation of Gamut MappingAlgorithms[S]. USA: CIE,2003
[18] ISO22028-1, Photography and Graphic Technology-Extended Color Encodings forDigital Image Storage, Manipulation and Interchange-Part1[S]. USA: ISO,2004
[19] Jan Morovic, Luo M.R. The Fundamentals of Gamut Mapping: A Survey[J]. Journal ofImaging Science and Technology,2001,45(3):283-290
[20] Chen Guangxue, Li Xiaozhou. Study on Original Image Gamut and Gamut MappingAdaptability in Digital Printing[A]. Proceedings of the31st International Congress onImaging Science[C]. Beijing: Chinese Society for Imaging Science and Technology,2010:184-188
[21] Chen Guangxue, Li Xiaozhou. Study on Digital Original Gamut based onImage-Dependent Color Gamut Mapping in Digital Printing[A]. Sun Runcang, Fu Shiyu.Research Progress in Paper Industry and Biorefiney[C]. Guangzhou: South China Universityof Technology Press,2010:2018-2021
[22] Joachim Giesen, Eva Schuberth, Klaus Simon, et al. Toward Image-dependent GamutMapping: Fast and Accurate Gamut Boundary Determination[A]. San Jose. Color Imaging X:Processing, Hardcopy, and Applications[C]. USA: SPIE-The International Society for OpticalEngineering,2005:201-210
[23] Zolliker, Peter. On the Continuity of Gamut Mapping Algorithms[A]. San Jose. ColorImaging X: Processing, Hardcopy, and Applications[C]. USA: SPIE-The InternationalSociety for Optical Engineering,2005:220-233
[24] Arjan Gijsenij, Theo Gevers, Joost Van de Weijer. Generalized Gamut Mapping UsingImage Derivative Structures for Color Constancy[J]. International Journal of ComputerVision,2010,86(2):127-139
[25]李效周,陈广学,陈奇峰等.数字印刷中的色域映射技术研究[J].中国印刷与包装研究,2010,2(3):8-15
[26]黄庆梅.彩色图像复制及色域映射技术的研究[D].北京:北京理工大学,2002
[27] Luo M.R., Morovic J. Two Unsolved Issues in Color Management-Color Appearance andGamut Mapping[A]. Proceedings5thInternational Conference on High Technology: ImagingScience and Technology-Evolution&Promise[C]. Japan: Chiba University Press,1996:11-14
[28] Appel J.J., Durbin J. A., Lehman R.F. Methods for Matching Color Prints to ColorImages on a Monitor Screen[P]. USA:5313291,1994
[29] Braun G. J., Fairchild M. D. Color Gamut Mapping in a Hue-Linearized CIELAB ColorSpace[A]. IS and T, SID. Final Program and Proceedings-IS and T/SID Color ImagingConference[C]. USA: Society for Imaging Science and Technology,1998:163-168
[30] Chau W. W. K, Cowan W.B. Gamut Mapping Based on the Fundamental Components ofReflective Image Specifications[A]. Final Program and Proceedings of IS&T/SID FourthColor Imaging Conference, Systems and Applications[C]. USA: Soc. Imaging Science&Technology, Springfield,1996:67-70
[31] Gentile R.S., Walowitt E., Allebach J. P. A Comparison of Techniques for Color GamutMismatch Compensation[J]. Journal of Imaging Technology,1990,16:176-181
[32] R.S. Gentlle, E. Walowlt, J.P. Allebach. A Comparison of Techniques for Color GamutMismatch Compensation[J]. Journal of Imaging Technology,1990,16(5):176-181
[33] Braun, Gustav J., Farichild, et al. Image Lightness Rescaling Using Sigmoidal ContrastEnhancement Functions[J]. Journal of Electronic Imaging,1999,8(4):380-393
[34] Chae-Soo Lee, Yang-Woo Park, Seok-Je Cho, et al. Gamut Mapping Algorithm UsingLightness Mapping and Multiple Anchor Points for Linear Tone and Maximum ChromaReproduction[J]. Journal of Imaging Science and Technology,2001,45(3):209-223
[35] Simone Bianco, Francesca Gasparini, Raimondo Schettini. Matrixing, Number of ColorChannels and Color Gamut of Camera Devices[A]. Proceedings of SPIE-IS and T ElectronicImaging-Digital Photography III[C]. USA: SPIE,2007:65208(11)
[36]马鲜艳.打印机和图像色域提取算法[J].计算机工程,2006,32(12):261-263Ma Xianyan. Algorithms of Color Gamut Extraction for Printer and Image[J]. ComputerEngineering,2006,32(12):261-263
[37]孟凡亚. CIECAM02均匀性和色域映射算法研究[D].南京:南京林业大学,2009
[38] Harrington S.J. Methods and Apparatus for Performing Real Time Color GamutCompressions[P]. USA:5319473,1994
[39] Shigeki Nakauchi, Satoshi Hatanaka, Shiro Usui. Color Gamut Mapping Based on aPerceptual Image Difference Measure[J]. Color Research and Application,1999,24(4):280-291
[40] Karen M. Braun, Raja Balasubramian, Reiner Eschbach. Development and Evaluation ofSix Gamut Mapping Algorithms for Pictorial Images[A]. Final Program and Proceedings-ISand T/SID Color Imaging Conference [C]. USA: Society for Imaging Science and Technology,1999:144-148
[41] Christopher C. Yang. Efficient Gamut Clipping for Color Image Processing Using LHSand YIQ[J]. Optical Engineering,2003,42(3):701-711
[42] Johnson A. Perceptual Requiremets of Digital Picture Processing[A]. Paper Presented atIARAIGAI Symposium and Printed in Part in Printing World6[C].1980
[43]王莹,曾平.一种基于图像空间频率特征的色域匹配算法[J].计算机应用研究,2004,10:120-121
[44]张显斗.数字图像颜色复现理论与方法研究[D].杭州:浙江大学,2010
[45]杜桂华.保持色相恒定的色域匹配算法的比较研究[D].武汉:武汉大学,2005
[46]许向阳.基于CIECAM02平台的图像色域映射算法的研究[D].南京:南京林业大学,2008
[47] Zhang Xiandou, Xu Haisong. An Adaptively Spatial Color Gamut Mapping Algorithm[J].Chinese Optics Letters,2009,7(9),873-877
[48] Nicolas Bonnier, Christophe Leynadier, Francis Schmitt. Improvement in Spatial andColor Adaptive Gamut Mapping Algorihtms[A]. Proc.4thEuropean Conference on Color inGraphics Imaging and Vision[C]. Spain: Curran Associates, Inc.,2008:341-346
[49] Bala. R., DeQueiroz R., Eschbach R., et al. Gamut Mapping to Preserve SpatialLuminance Variations[J]. Journal of Imaging Science and Technology,2001,45(5):436-443
[50] James M.K., Calif M.P. Color Image Gamut-Mapping System with ChromaEnhancement at Human-insensive Spatial Frequencies[P]. USA:289976,1995
[51] Morovic J., Wang Y. A Multi-resolution, Full-color Spatial Gamut MappingAlgorithm[A]. Proceedings of11thIS&T/SID Color Imaging Conference[C]. USA: Societyfor Imaging Science and Technology,2003:282-287
[52] Zolliker P., Simon K., Retaining Local Image Information in Global Gamut MappingAlgorithms[J]. IEEE Transactions on Image Processing,2007,16(3):664-672
[53] Nicolas Bonnier, Francis Schmitt, Micheal Hull, et al. Spatial and Color Adaptive GamutMapping: A Mathematical Framework and Two New Algorithms[A]. Fifteenth Color ImagingConference: Color Science and Engineering Systems, Technologies, and Applications, FinalProgram and Proceedings[C]. USA: Soc. Imaging Science&Technology,2007:267-272
[54] Reiner Eschbach, Raja Bala. Simple Spatial Processing for Color Mappings[J]. Journalof Electronic Imaging,2004,13(1):120-125
[55] Levy Avraham, Shaked Doron. Variational Models for Spatially Dependent GamutMapping[P]. European:03714090.2,2010
[56] Ivar Farup, Carlo Gatta, Alessandro Rizzi. A Multiscale Framework for Spatial GamutMapping[J]. IEEE Transactions on Image Processing,2007,16(10):2423-2455
[57] Nicolas Bonnier. Contribution to Spatial Gamut Mapping Algorithms[D]. France:Telecom Paris Tech.,2008
[58] Li Xiao-zhou, Chen Guang-xue, Jia Chun-jiang, et al. Study on Influence of FilterDesign Parameter on Printing Image Reproduction Quality in Spatial Color GamutMapping[A]. Shinri Sakai, Xavier Bruch. Technical Programs and Proceedings of NIP27[C].USA: The Society for Imaging and Technology,2011:244-247
[59]李琦. RGB-LED背光液晶显示器的色域映射算法研究[D].济南:山东大学,2009
[60]王勇.数字图像设备颜色特征化及其再现理论与技术研究[D].杭州:浙江大学,2006
[61]宋刚.新型显示器的色还原研究[D].天津:天津大学,2008
[62]朱磊.色域拓展技术的研究与实现[D].上海:上海交通大学,2008
[63]姜浩.色域拓展算法研究及硬件实现[D].上海:上海交通大学,2007
[64]何华,黄慧,孙娅妮等. GOG模型在LCD特性化中的适用性研究[J].昆明学院学报,2009,31(3):99-101
[65]王永宁,刘明亮,朱海红.彩色CRT显示器描述颜色特性的数学模型[J].武汉测绘科技大学学报,1996,21(1):73-76
[66]王勇,徐海松,许东晖.显示器颜色特性化模型比较研究[J].浙江大学学报,2006,40(6):1085-1089
[67]蔡圣燕.基于iCAM和实时颜色转换方式对ICC色彩管理机制的改进[D].郑州:解放军信息工程大学,2006
[68] Fairchild M.D. Formulation and Testing of A Chromatic Adaptation Model[J]. ColorResearch and Application,1991, b(16):243-250
[69] FairChild M.D. A Revision of CIECAM97s for Practical Applications[J]. Color Researchand Application,2001,26(6):418-427
[70] Ingeborg Tastl, Miheer Bhachech, Nathan Moroney, et al. ICC Color Management andCIECAM02[A]. STOC’05: Proceedings of the37thAnnual ACM Symposium on Theory ofComputing[C]. USA: Society for Imaging Science and Technology,2005:217-223
[71] Park YungKyung, Li ChangJun, Luo M.R., et al. Applying CIECAM02for MobileDisplay Viewing Conditions[A]. Fifteenth Color Imaging Conference: Color Science andEngineering Systems, Technologies, and Applications-Final Program and Proceedings[C].USA: Society for Imaging Science and Technology,2007:169-173
[72] Y. Xue, Roy S. Berns. Uniform Color Spaces Based on CIECAM02and IPT ColorDifference Equations[J]. Color Research and Application,2006,31(4):320-330
[73] K. Takahama, H. Sobagaki, Y. Nayatani. Analysis of Chroma-Adaptation Effect by ALinkage Model[J]. Journal of Optical Society of America,1977,67(5):651-656
[74] John J. McCann. Color Spaces for Color Gamut Mapping[J]. Journal of ElectronicImaging,1999,8(4):354-365
[75] Mark D. Fairchild, Garrett M. Johnson. Meet iCAM: A Next Generation ColorAppearance Model[A]. Final Program and Proceedings of the10thIS and T/SID ColorImaging Conference: Color Science, Systems and Applications[C]. USA: Society for ImagingScience and Technology,2002:33-38
[76] Mark D. Fairchild, Garrett M. Johnson. Image Appearance Modeling[A]. Proceedings ofSPIE-The International Society for Optical Engineering[C]. USA: SPIE,2003:149-160
[77]黄小乔,石俊生. IPT色空间及其均匀性研究[J].光学学报,2010,30(7):2171-2175
[78] Fairchild Mark D., Johnson Garrett M. iCAM Framework for Image Appearance,Difference, and Quality[J]. Journal of Electronic Imaging,2004,13(1):126-138
[79]柴冰华.色貌模型CIECAM02若干问题的研究[D].北京:北京理工大学,2006
[80]曹朝辉,史瑞芝.在色彩管理系统中应用CIECAM02色貌模型[J].中国印刷与包装研究,2011,3(2):12-16
[81]石俊生. CIECAM02色貌模型应用存在问题及建议解决的方法[J].激光与光电子学进展,2011,48(4):2601(1-8)
[82] Jiangtao Kuang, Garret M. Johnson, Mark D. Fairchild. iCAM06: A Refined ImageAppearance Model for HDR Image Rendering[J]. Journal of Visual Communication&ImageRepresentation,2007,18:406-414
[83] Stone M.C., Wallace W.E. Gamut Mapping Computer Generated Imagery[J]. GraphicInterface91,1991:32-39
[84] Joachim Giesen, Eva Schuberth, Klaus Simon, et al. A Framework for Image-DependentGamut Mapping[A]. Proceedings of SPIE-The International Society for OpticalEngineering[C]. USA: SPIE,2006:5805-5805
[85] Wang Yifeng, Zeng Ping, Luo Xuemei. Color Gamut Mapping Based on ImageFusion[A].2008International Conference on Computer Science and Software Engineering[C].USA: IEEE Computer Society,2008:801-805
[86] Ron Kimmel, Doron Shaked, Michael Elad, et al. Space-Dependent Color GamutMapping: A Variational Approach[J]. IEEE Transactions on Image Processing,2005,14(6):796-803
[87] Peter Zolliker. Retaining Local Image Information in Gamut Mapping Algorithms[J].IEEE Transactions on Image Processing,2007,16(3):664-672
[88] Asaf Golan, Hagit Hel-Or. Novel Workflow for Image-guided Gamut Mapping[J].Journal of Electronic Imaging,2008,17(3):033004:1-11
[89] S. Gorji Kandi, M. Amani Tehran. A New Method for Color Gamut Mapping by GeneticAlgorithm[J]. Prog. Color Colorants Coat.2:95-101
[90]Gustav J. Braun, Mark D. Fairchild. Gamut Mapping for Pictorial Images[OL].http://www.cis.rit.edu/fairchild/PDFs/PRO06.pdf,1999
[91] Arjan Gijsenij, Theo Gevers. Color Constancy Using Natural Image Statistics and SceneSemantics[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(4):687-698
[92] N. Bonnier, F. Schmitt, H. Brettel, et al. Evaluation of Spatial Gamut MappingAlgorithms[A]. Proc.14thColor Image Conference[C]. USA: Society for Imaging Scienceand Technology,2006:56-61
[93] Ethan D. Montag, Mark D. Fairchild. Gamut Mapping: Evaluation of Chroma ClippingTechniques for Three Destination Gamuts[A]. Proceedings of the Sixth Color ImagingConference: Color Science, Systems, and Applications[C]. USA: Society for Imaging Scienceand Technology,1998:57-61
[94]杨卫平,赵达尊,范秋梅等.基于色貌的跨媒体复制[J].光学技术,2005,31(1):101-103
[95] J. Von Kries. Chromatic Adaptation[M]. Switzerland,1902:145-158
[96] Hunt R.W.G. A Model of Color Vision for Predicting Color Appearance[J]. ColorResearch and Application,1982,7:95-112
[97] Hunt R.W.G., Pointer M.R. A Color-Appearance Transform for the CIE1931StandardColorimetric Observer[J]. Color Research and Application,1985,10:165-179
[98] Hunt R.W.G. A Model of Color Vision for Predicting Color Appearance in VariousViewing Conditions[J]. Color Research and Application,1987,12:297-314
[99] Hunt R.W.G. Hue Shifts in Unrelated and Related Colors[J]. Color Research andApplication,1989,14:235-239
[100] Hunt R.W.G. Revised Color Appearance Model for Related and Unrelated Colors[J].Color Research and Application,1991b,16:146-165
[101] Nayatani Y., Takahama K., Sobagaki H., et al. On Exponents of A Nonlinear Model ofChromatic Adaptation[J]. Color Research and Application,1982,7:34-45
[102] Nayatani Y., Hashimoto K., Takahama K., et al. A Nonlinear Color-Appearance ModelUsing Estevez-Hunt-Pointer Primaries[J]. Color Research and Application,1987,12:231-242
[103] Nayatani Y., Takahama K., Sobagaki H., et al. Prediction of Color Appearance underVarious adapting Conditions[J]. Color Research and Application,1986,11:62-71
[104] Nayatani Y., Takahama H., Hashimoto K. Color Appearance Model and ChromaticAdaptation Transform[J]. Color Research and Application,1990b,15:272-284
[105] Nayatani Y., Comi Y., Kamei M., et al. Perceived Lightness of Chromatic Object ColorsIncluding Highly Saturated Colors[J]. Color Research and Application,1992,17:127-141
[106] Nayatani Y., Sobagaki H., Hashimoto K., et al. Lightness Dependency of ChromaScales of A nonlinear Color Appearance Model and Its Latest Formulation[J]. Color Researchand Application,1995,20:156-157
[107] Fairchild M.D. Chromatic Adaptation and Color Appearance[D]. USA: University ofRochester,1990
[108] Fairchild M.D. Formulation and Testing of an Incomplete-Chromatic-AdaptationModel[J]. Color Research and Application,1991,16:243-250
[109] Fairchild M.D. Visual Evaluation and Evolution of The RLAB Color Space[A].IS&T/SID2ndColor Imaging Conference,1994:9-13
[110] Fairchild M.D. Refinement of the RLAB Color Space[J]. Color Research andApplication,1996,21:338-346
[111] M. R. Luo. A Review of Chromatic Adaptation Transforms[J]. Rev. Prog. Coloration.2000,30:77-92
[112] Luo M.R., Lo M.C., Kuo W.G. The LLAB(l:c) Color Model[J] Color Research andApplication,1996,21:412-429
[113] Luo M.R., Hunt R.W.G. The Structure of CIE1997Color AppearanceModel(CIECAM97s)[J]. Color Research and Application,1998,23(3):138-146
[114] Luo M.R., Cui G.H., Rigg. The Development of CIE2000Color-Difference Formula:CIEDE2000[J]. Color Research and Application,2001,26(5):340-350
[115] Fairchild M.D. A Revision of CIECAM97s for Practical Applications[J]. ColorResearch and Application,2001,26:418-427
[116]刘真,孟凡亚,解娴婷. CIECAM02色貌模型的视觉均匀性分析与模型优化[J].影像科学与化学,2009,27(2):128-134
[117] Nathan Moroney, Mark D. Fairchild, Robert W.G. Hunt, et al. The CIECAM02ColorAppearance Model[A]. Final Program and Proceedings-IS and T/SID Color ImagingConference[C]. USA: Society for Imaging Science and Technology,2002:23-27
[118] Moroney, Nathan, Zeng Huan. Field Trials of the CIECAM02Color AppearanceModel[OL]. http://www.hpl.hp.com/personal/Nathan_Moroney/cie-2003-moroney.pdf,2003
[119] Soltic Snjezana, Chalmers Andrew N., Jammalamadaka Radhika. Application of theCIECAM02Color Appearance Model to Predict the Effect of Gamma on the Colors Viewedon CRT Monitors[J]. Signal Processing: Image Communication,2004,19(10):1029-1045
[120]柴冰华,赵达尊,廖宁放等.色貌模型的人工神经网络方法的研究[J].光学技术,2005,31(1):127-129
[121] Akyuz Ahmet Ogutz, Renhard Erik, Pattanaik SUmanta. Color Appearance Models andDynamic Range Reduction[A]. Proceedings of1stSymposium on Applied Perception inGraphics and Visualization[C]. USA: Association for Computing Machinery,2004:166-169
[122] Akyuz Ahmet Oguz, Reinhard Erik. Color Appearance in High–Dynamic-RangeImaging[J]. Journal of Electronic Imaging,2006,15(3):033001
[123]廉玉生.利用中国颜色体系数据集对色貌模型的研究[D].郑州:解放军信息工程大学,2007
[124] Hwi-Gang Kim, Eui Chul Lee, Sung-Hak Lee. Color Correction Using Rotation Matrixfor HDR Rendering in iCAM06[A]. Proceedings of2011IEEE International Conference onComputer Vision Workshops[C]. Spain: Institute of Electrical and Electronics Engineers Inc.,2011:738-744
[125] L. Shapira, A. Shamir, D. Cohen-Or. Image Appearance Exploration by Model-BasedNaviagtion[J]. Computer Graphics Forum,2009,28(2):629-638
[126] O. Lezoray, A. Elmoataz, C. Meurie. Mathematical Morphology in Any Color Space[A].Proceedings-14thInternational Conference on Image Analysis and Processing Workshops,ICIAP[C]. Italy: Inst. of Elec. And Elec. Eng. Computer Society,2007:183-187
[127] Garrett M. Johnson, Xioyan Song, Ethan D. Montag. Derivation of A Color Space forImage Color Difference Measurement[J]. Color Research and Application,2009,35(6):387-401
[128] Apurva Bedagkar-Gala, Shishir K. Shah. Multiple Person Re-identification Using PartBased Spatio-Temporal Color Appearance Model[A]. Proceedings of the IEEE InternationalConference on Computer Vision[C]. Spain: Institute of Electrical and Electronics EngineeringInc.,2011:1721-1728
[129] Chengho Hsin, Hoai-Nam Le, Shaw-Jyh Shin. Color to Grayscale Transform PreservingNatural Order of Hues[A]. Proceedings of2011International Conference on ElectricalEngineering and Informatics[C]. Indonesia: IEEE Computer Society,2011
[130] Javier Vazquez-Corral, Maria Vanrell, Ramon Baldrich, et al. Color Constancy byCategory[J]. IEEE Transactions on Image Processing,2012,21(4):1997-2007
[131] L. Neumann, F. Castro, A. Neumann, et al. Color Appearance in MultispectralRadiosity[OL].http://www.cg.tuwien.ac.at/research/publications/2003/neumann-2003-color/neumann-2003-color-PDF.pdf,2003.
[132] Timo Kunkel, Erik Reinhard. A Neurophysiology-Inspired Steady-State ColorAppearance Model[J]. Journal of the Optical Society of America,2009,26(4):776-782
[133]单宝忠,王淑岩,牛憨笨等. Zernike多项式拟合方法及应用[J].光学精密工程,2002,10(3):319-324
[134] Huang Qinmei, Zhao Dazun. Gamut Boundary Expressed with Zernike Polynomials[J].Proc. SPIE,2002:4922
[135] Morovic J. Color Gamut Mapping, Color Management for Information System[D]. UK:University of Derby,1997
[136] MacDonald L.W. Gamut Mapping in Perceptual Color or Space[A]. Proceedings of1stIS&T/SID Color Imaging Conference[C]. USA: Spring Filed,1993:193-196
[137] Gustav J. Braun, Mark D. Fairchild. General-Purpose Gamut-Mapping Algorithms:Evaluation of Contrast Preserving Rescaling Functions for Color Gamut Mapping[A]. FinalProgram and Proceedings of the7thIS and T/SID Color Imaging Conference: Color Science,Systems and Applications[C]. USA: Society for Imaging Science and Technology,1999:167-172
[138] Viggiano J.A.S., Wang J. A Comparison of Algorithms for Mapping Color BetweenMedia of Differing Luminance Ranges[A]. TAGA Proceedings[C].1992,2:959-974
[139] MacDonald L.W., Morovic J. Assessing the Effects of Gamut Compression in theRe-production of Fine Art Paintings[A]. Proceedings of3rdIS&T/SID Color ImagingConference[C].1995:194-200
[140] MacDonald L.W., Morovic J., Saunders D. Evaluation of Color Fidelity forReproductions of Fine Art Paintings[J]. Museum Management and Curatorship,1995,14(3):253-281
[141] Ethan D. Montag, Mark D. Fairchild. Psychophysical Evaluation of Gamut MappingTechniques Using Simple Rendered Images and Artificial Gamut Boundaries[J]. IEEETransactions on Image Processing,1997,6(7):977-989
[142] Edwin H. Land. The Retinex Theory of Color Vision[J]. Sientific American,1977,237(6):108-128
[143] Ron Kimmel, Michael Elad, Doron Shaked, et al. A Variational Framework forRetinex[J]. International Journal of Computer Vision,2003,52(1):7-23
[144] David H. Brainard, Brian A. Wandell. Analysis of the Retinex Theory of Color Vision[J].Optical Society of America,1986,3(10):1651-1661
[145] Edgar Bernal, Robert P. Loce, Bala. Gamut Aim and Gamut Mapping Method forSpatially Varying Color Lookup Tables[P]. USA:8077352B2,2011
[146] McCann J.J. Color Gamut Mapping Using Spatial Comparisons[A]. Proceedings of theSociety of Photo-Optical Instrumentation Engineering[C]. USA: SPIE-Int. SOC OpticalEngineering,2001:126-130
[147] Morovic J. Public Gamut Mapping Algorithm (PGMA) C Source Code[OL].http://www.colour.org/tc8-03/pgma.html,2001
[148] ISO3664:2000. Viewing Conditions-Prints, Transparencies and Substrates for GraphicArts Technology and Photography[S]. USA: ISO,2000
[149] CIE162Chromatic Adaptation under Mixed Illumination Condition When ComparingSoftcopy and Hardcopy Images[S]. USA: CIE Central Bureau,2004
[150] Mark D. Fairchild. CIE TC1-34Testing Colour-Appearance Models [OL].https://ritdml.rit.edu/bitstream/handle/1850/7868/MFairchildArticle08-1995.pdf?sequence=1,1995
[151] Henry R. Kang. Computational Color Technology[M]. USA: The international Societyfor Optical Engineering,2006:52-60
[152]石俊生. CIECAM02及色貌模型相关问题研究进展[J].云南师范大学学报[J].2011,31(2):1-8
[153]李欣.基于颜色特征的图像检索方法的设计与实现[D].沈阳:东北大学,2008
[154]孙劲光.基于颜色特征的图像数据管理模式研究[D].阜新:辽宁工程技术大学,2006
[155]王义峰.色彩管理若干关键技术研究[D].西安:西安电子科技大学,2008
[156]姚军财,石俊生,杨卫平等.人眼对比度敏感视觉特性及模型研究[J].光学技术,2009,35(3):334-337
[157] Hung-Shing Chen. Three-dimensional Gamut Mapping Method Based on the Conceptof Image Dependence[J]. Journal of Imaging Science and Technology,2002,46(1):44-52
[158] Laihanen P. Color Reproduction Theory based on the Principles of Color Science[A].IARAIGAI Conference Proceedings-Adavances in Printing Science and Technology[C].1987,19:1-36
[159] Sara J.J. The Automated Reproduction of Pictures with Nonreproducible Colors[D].USA: MIT,1984
[160]韩晓微.彩色图像处理关键技术研究[D].沈阳:东北大学,2005
[161]王振华,窦丽华,陈杰.一种尺度自适应调整的高斯滤波器设计方法[J].光学技术,2007,32(3):395-398
[162]姜三平.基于小波变换的图像降噪[M].北京:国防工业出版社,2009:1-12
[163] Smith S., Brady J. Susan. A New Approach to Low Level Image Processing[J].International Journal of Computer Vision,1997,23(1):45-78
[164] Tomasi C, Manduchi R. Bilateral Filtering for Gray and Color Images[A]. Proceedingsof the6thInternational Conference on Computer Vision[C]. India: Bombay,1998:839-846
[165] IEC61966-2-4, Multimedia Systems and Equipment-Color Measurement andManagement. Part2-4: Color Management-Extended-Gamut YCC Color Space for VideoApplications-xvYCC[S].2006
[167]徐岩,李彦,安永成等.宽色域视频标准ITU-R BT.1361与IEC61966-2-4的分析和比较[J].电视技术,2009,33(3):92-94
[168]刘瑞华.基于ICC规范的色彩管理技术研究[D].西安:西安电子科技大学,2008
[169]李栋,宗慧超,徐兰萍等.基于ICC标准的印刷色彩管理色域映射意图自动选择的研究[J].包装工程,2009,30(12):91-94
[170] Shaohua Chen, Azeddine Beghdadai. Improve Gamut Mapping of Color ManagementSystem by Perceptual Quality-Oriented Analysis[A]. Final Program and Proceedings-3rdEuropean Workshop on Visual Information Processing[C]. IEEE Computer Society,2011:12-17
[171] MacDonald L.W., Morovic J., Xiao K. Evaluation of Color Gamut MappingAlgorithms[A]. Proceedings of SPIE-International Society for Optical Engineering[C]. USA:SPIE,2001:890-893
[172] Kress W., Stevens M. Derivation of3D Image Gamut Descriptors for Graphics ArtsOutput Devices[A]. TAGA Proceedings[C].1994:199-214
[173] Morovic J., Luo M.R. Calculating Medium and Image Gamut Boundaries for GamutMapping[J]. Color Research and Application,2000,25:394-401
[174] Morovic J., Luo M.R. Calculating Medium and Image Gamut Boundaries for GamutMapping[J]. Color Research and Application,2000,25:394-401
[175] Phil. Green. Defining Color Gamut Boundaries with a Test Target[A]. Proc. Conf. ColorImaging: Device-Independent Color, Color Hardcopy and Graphic Arts[C]. USA: Society forImaging Science and Technology,2001:105-113
[176]张宏达,王晓丹,白冬婴等.一种基于凸壳算法的SVM集成方法[J].计算机工程,2008,34(17):28-30
[177]蒋联源.凸壳算法及其应用研究[D].桂林:广西师范大学,2007
[178] Cholewo T.J., Love S. Gamut Boundary Determination Using Alpha-Shapes[A].Proceedings of7thIS&T/SID Color Imaging Conference[C]. USA: Society for ImagingScience and Technology,1999:200-204
[179] Paolo Pellegri, Raimondo Schettini. Gamut Boundary Determination for A Color PrinterUsing the Face Triangulation Method[A]. Reiner Eschbach, Gabriel G. Marcu. Proceedings ofSPIE-The International Society for Optical Engineering[C]. USA: SPIE,2003:542-547
[180] Tomasz J. Cholewo, Shaun Love. Gamut Boundary Determination UsingAlpha-shapes[A]. Final Program and Proceedings-IS and T/SID Color ImagingConference[C]. USA: Society for Imaging Science and Technology,1999:200-204
[181] Johnson A.J. Perceptual Requirements of Digital Picture Processing[A], Paperpresented at LARAIGAI Symposium and Printed in part in Printing World[C].1979
[182] Buckley R.R. Reproducing Pictures with Non-reproducible Colors[D]. USA:Massachusetts Institute of Technology,1978
[183] Mark Humphrys. Continuous Output-The Sigmoid Function[OL].http://www.computing.dcu.ie/~humphrys/Notes/Neural/sigmoid.html,
[184] UGRA GAMCOM Version1.1-Program for the Color Gamut Compression and for theComparison of Calculated and Measured Values. Switzerland: UGRA,1995
[185] Fabienne Dugay. Ivar Farup, Jon Y. Hardeberg. Perceptual Evaluation of Color GamutMapping Algorithms[J]. Color Research and Application,2008:470-476
[186] Arne M. Bakke, Ivar Farup, Jon Y. Hardeberg. Predicting the Performance of a SpatialGamut Mapping Algorithm[A]. Proceedings of SPIE-The International Society for OpticalEngineering[C]. USA: SPIE,2009:16-24
[187] Marius Pedersen, Jon Yngve Hardeberg. A New Spatial Hue Angle Metric forPerceptual Image Difference[A]. Lecture Notes in Computer Science[C]. France: SpringerVerlag,2009:81-90
[188]孙佳石.敦煌壁画颜色还原校正方法的研究[D].长春:中国科学院长春光学精密机械与物理研究所,2005
[189]程琰.多基色显示设备颜色再现一些关键问题的研究[D].杭州:浙江大学,2008
[190] Xiaozhou Li, Guangxue Chen, Chunjiang Jia, et al. Research on Color Characteristicsof Original Image in Printing Color Gamut Mapping[J]. Journal of ComputationalInformation Systems,2011,7(8):2867-2875
[191]叶国军,王绍棣.基于CIELab颜色空间和颜色分布信息熵的图像检索[J].计算机工程与应用,2007,43(29):98-100
[192]陈少仿.颜色的空间分布密度与图像检索[J].现代计算机,215:4-8
[193]姚军财,石俊生,黄小乔等.彩色图像对比度定义的探讨[J].云南师范大学学报,2006,26(4):49-51
[194] Meyer J., Barth B. Color Gamut Matching for Hard Copy[A]. SID89Digest[C].1989:86-89
[195]刘瑞华.数字图像去模糊的理论研究及应用[D].上海:华东师范大学,2008
[196]王玉灵.基于双边滤波的图像处理算法研究[D].西安:西安电子科技大学,2010
[197]侯岩.基于双边滤波和小波的车牌定位系统[D].长春:吉林大学,2010
[198] Justin Laird, Remco Muijs, Jiangtao Kuang. Development and Evaluation of GamutExtension Algorithms[J]. Color Research and Application,2009,34(6):443-451
[199] Thurstone L.L. A Law of Comparative Judgement[J]. Psychological Review,1927,34:273-286
[200] Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli. Perceptual Quality Assessment ofColor Images Using Adaptive Signal Representation[A]. Proceedings of SPIE-IS and TElectronic Imaging-Human Vision and Electronic Imaging XV[C]. USA: SPIE,2010:75271L-75271L-9
[201] M. Pedersen, N. Bonnier, Hardeberg J.Y., et al. Attributes of A New Quality Model forColor Prints[J]. Journal of Electronic Imaging,2010,
[202] Peter Zolliker, Zofia Baranczuk, Iris Sprow, et al. Conjoint Analysis for EvaluatingParameterized Gamut Mapping Algorithms[J]. IEEE Transactions on Image Processing,2010,19(3):758-769
[203]马健.基于不同光泽度纸基的墨色质量评估[D].杭州:浙江大学,2010
[204]汪哲弘.颜色视觉辨别特性及色差评价研究[D].杭州:浙江大学,2009
[205]黄庆梅,赵达尊.不同色域映射算法视觉效果的一种评价方法[J].北京理工大学学报,2003,23(4):408-413
[206] Jon Y. Hardeberg. Recent Progress in Quantifying Color Reproduction Quality[A].3rdEuropean Workshop on Visual Information Processing, EUVIP2011-Final Program[C].France: IEEE Computer Society,2011:9-11
[207] Xiao-zhou Li, Guang-xue Chen. Methods and Mechanisms of Expanding DestinationColor Gamut in HF Color Printing[A]. Shinri Sakai, Xavier Bruch, Technical Programs andProceedings of NIP26[C]. USA: The Society for Imaging Science and Technology,2010:443-446
[208] Chunjiang Jia, Guangxue Chen, Xiaozhou Li, et al. Research on Ink Droplet Placementon Moving Substrate[A]. Shinri Sakai, Xavier Bruch, Technical Programs and Proceedings ofNIP27[C]. USA: The Society for Imaging Science and Technology,2011:300-303
[209]李效周,陈广学,崔晓萌.高品质彩色包装印刷中目标色域拓展方法的研究[A].奚德昌.第十三届全国包装工程学术会议论文集[C]. USA: Scientific Research Publishing,2010:325-329
[210]李效周,陈广学,贾春江等.基于高保真颜色再现的色域拓展方法研究[J].包装学报,2011,3(1):19-23
[211]陈广学.地图出版可视化中的数字加网技术研究[D].郑州:解放军信息工程大学,2005
[212] Guang-xue Chen, Xiaozhou Li. Study on Moiré Fringe of Halftone Image and ItsInfluence on Image Optical Representation Effect[A]. Zheng-hua Tan, Yi Wan, Tao Xiang, etal. Proceedings of3rdInternational Congress on Image and Signal Processing[C]. USA: IEEEComputer Society,2010:2376-2380
[213] Guangxue Chen, Xiaozhou Li, Qifeng Chen. Clustering Algorithms for AreaGeographical Entities in Spatial Data Mining[A]. Proceedings of7thInternational Conferenceon Fuzzy Systems and Knowledge Discovery[C]. USA: IEEE Computer Society,2010:1630-1633
[214] Guangxue-Chen, Xiao-zhou Li, Yong-jun Wei, et al. Modeling and Application of3DMap Symbol[A]. Feng Jiao. Proceedings-2010International Conference on MultimediaTechnology[C]. USA: Institute of Electrical and Electronic Engineering, Inc.,2010:1186-1189
[215] Xiaozhou Li, Guangxue Chen. An Overview of Gamut Extension Methods for HighFidelity Color Reproduction[J]. Journal of Computational Information Systems,2010,6(13):4573-4580
[2] Steven K. S. The Science of Color[M].2nd. UK: Elsevier,2003:282-314
[3]刘红芳,赵秀萍,金洪勇.图像色貌模型的研究及应用[J].包装工程,2008,28(6):58-60
[4]文帅,蔡轶珩,张新峰等.基于色貌模型的图像颜色校正[J].测控技术,2010,29(5):19-22
[5] Morovic J. Digital Color Imaging Handbook[M]. USA: CRC Press,2003:648-689
[6] Phil Green. Color Management Understanding and Using ICC Profiles[M]. UK: JohnWiley&Sons,2010:7-17
[7] Mark D. F. Color Appearance Models[M]. England: John Wiley&Sons Ltd,2005:127-130
[8]胡威捷,汤顺清,朱正芳.现代颜色技术原理及应用[M].北京:北京理工大学出版社,2007:134-138
[9]廖宁放,石俊生,吴文敏.数字图文图像颜色管理系统概论[M].北京:北京理工大学出版社,2009:168-180
[10]徐海松.颜色信息工程[M].杭州:浙江大学出版社,2005:159-175
[11]周世生.印刷色彩学[M].北京:印刷工业出版社,2005:103-117
[12] Jan Morovic. Color Gamut Mapping[M]. England: John Wiley&Sons Ltd,2008:91-109
[13]洪国敦.色域映射理论应用于显示器色彩调校至研究[D].中国台湾:国立中央大学,1995
[14] Ruetz B. Color Printing Method and Apparatus Using an Out-of-Gamut Color Table[P].USA:5299291,1994
[15] Stokes M. Subjectively Pleasing Color Gamut Mapping in a Color Computer GraphicsSystem[P]. USA:5611030,1997
[16] Stone M. C., Cowan W.B., Beatty J.C. Color Gamut Mapping and the Printing of DigitalColor Image[J]. ACM Transactions on Graphics,1988,7:249-292
[17] CIE Technical Committee8-03. Guidelines for the Evaluation of Gamut MappingAlgorithms[S]. USA: CIE,2003
[18] ISO22028-1, Photography and Graphic Technology-Extended Color Encodings forDigital Image Storage, Manipulation and Interchange-Part1[S]. USA: ISO,2004
[19] Jan Morovic, Luo M.R. The Fundamentals of Gamut Mapping: A Survey[J]. Journal ofImaging Science and Technology,2001,45(3):283-290
[20] Chen Guangxue, Li Xiaozhou. Study on Original Image Gamut and Gamut MappingAdaptability in Digital Printing[A]. Proceedings of the31st International Congress onImaging Science[C]. Beijing: Chinese Society for Imaging Science and Technology,2010:184-188
[21] Chen Guangxue, Li Xiaozhou. Study on Digital Original Gamut based onImage-Dependent Color Gamut Mapping in Digital Printing[A]. Sun Runcang, Fu Shiyu.Research Progress in Paper Industry and Biorefiney[C]. Guangzhou: South China Universityof Technology Press,2010:2018-2021
[22] Joachim Giesen, Eva Schuberth, Klaus Simon, et al. Toward Image-dependent GamutMapping: Fast and Accurate Gamut Boundary Determination[A]. San Jose. Color Imaging X:Processing, Hardcopy, and Applications[C]. USA: SPIE-The International Society for OpticalEngineering,2005:201-210
[23] Zolliker, Peter. On the Continuity of Gamut Mapping Algorithms[A]. San Jose. ColorImaging X: Processing, Hardcopy, and Applications[C]. USA: SPIE-The InternationalSociety for Optical Engineering,2005:220-233
[24] Arjan Gijsenij, Theo Gevers, Joost Van de Weijer. Generalized Gamut Mapping UsingImage Derivative Structures for Color Constancy[J]. International Journal of ComputerVision,2010,86(2):127-139
[25]李效周,陈广学,陈奇峰等.数字印刷中的色域映射技术研究[J].中国印刷与包装研究,2010,2(3):8-15
[26]黄庆梅.彩色图像复制及色域映射技术的研究[D].北京:北京理工大学,2002
[27] Luo M.R., Morovic J. Two Unsolved Issues in Color Management-Color Appearance andGamut Mapping[A]. Proceedings5thInternational Conference on High Technology: ImagingScience and Technology-Evolution&Promise[C]. Japan: Chiba University Press,1996:11-14
[28] Appel J.J., Durbin J. A., Lehman R.F. Methods for Matching Color Prints to ColorImages on a Monitor Screen[P]. USA:5313291,1994
[29] Braun G. J., Fairchild M. D. Color Gamut Mapping in a Hue-Linearized CIELAB ColorSpace[A]. IS and T, SID. Final Program and Proceedings-IS and T/SID Color ImagingConference[C]. USA: Society for Imaging Science and Technology,1998:163-168
[30] Chau W. W. K, Cowan W.B. Gamut Mapping Based on the Fundamental Components ofReflective Image Specifications[A]. Final Program and Proceedings of IS&T/SID FourthColor Imaging Conference, Systems and Applications[C]. USA: Soc. Imaging Science&Technology, Springfield,1996:67-70
[31] Gentile R.S., Walowitt E., Allebach J. P. A Comparison of Techniques for Color GamutMismatch Compensation[J]. Journal of Imaging Technology,1990,16:176-181
[32] R.S. Gentlle, E. Walowlt, J.P. Allebach. A Comparison of Techniques for Color GamutMismatch Compensation[J]. Journal of Imaging Technology,1990,16(5):176-181
[33] Braun, Gustav J., Farichild, et al. Image Lightness Rescaling Using Sigmoidal ContrastEnhancement Functions[J]. Journal of Electronic Imaging,1999,8(4):380-393
[34] Chae-Soo Lee, Yang-Woo Park, Seok-Je Cho, et al. Gamut Mapping Algorithm UsingLightness Mapping and Multiple Anchor Points for Linear Tone and Maximum ChromaReproduction[J]. Journal of Imaging Science and Technology,2001,45(3):209-223
[35] Simone Bianco, Francesca Gasparini, Raimondo Schettini. Matrixing, Number of ColorChannels and Color Gamut of Camera Devices[A]. Proceedings of SPIE-IS and T ElectronicImaging-Digital Photography III[C]. USA: SPIE,2007:65208(11)
[36]马鲜艳.打印机和图像色域提取算法[J].计算机工程,2006,32(12):261-263Ma Xianyan. Algorithms of Color Gamut Extraction for Printer and Image[J]. ComputerEngineering,2006,32(12):261-263
[37]孟凡亚. CIECAM02均匀性和色域映射算法研究[D].南京:南京林业大学,2009
[38] Harrington S.J. Methods and Apparatus for Performing Real Time Color GamutCompressions[P]. USA:5319473,1994
[39] Shigeki Nakauchi, Satoshi Hatanaka, Shiro Usui. Color Gamut Mapping Based on aPerceptual Image Difference Measure[J]. Color Research and Application,1999,24(4):280-291
[40] Karen M. Braun, Raja Balasubramian, Reiner Eschbach. Development and Evaluation ofSix Gamut Mapping Algorithms for Pictorial Images[A]. Final Program and Proceedings-ISand T/SID Color Imaging Conference [C]. USA: Society for Imaging Science and Technology,1999:144-148
[41] Christopher C. Yang. Efficient Gamut Clipping for Color Image Processing Using LHSand YIQ[J]. Optical Engineering,2003,42(3):701-711
[42] Johnson A. Perceptual Requiremets of Digital Picture Processing[A]. Paper Presented atIARAIGAI Symposium and Printed in Part in Printing World6[C].1980
[43]王莹,曾平.一种基于图像空间频率特征的色域匹配算法[J].计算机应用研究,2004,10:120-121
[44]张显斗.数字图像颜色复现理论与方法研究[D].杭州:浙江大学,2010
[45]杜桂华.保持色相恒定的色域匹配算法的比较研究[D].武汉:武汉大学,2005
[46]许向阳.基于CIECAM02平台的图像色域映射算法的研究[D].南京:南京林业大学,2008
[47] Zhang Xiandou, Xu Haisong. An Adaptively Spatial Color Gamut Mapping Algorithm[J].Chinese Optics Letters,2009,7(9),873-877
[48] Nicolas Bonnier, Christophe Leynadier, Francis Schmitt. Improvement in Spatial andColor Adaptive Gamut Mapping Algorihtms[A]. Proc.4thEuropean Conference on Color inGraphics Imaging and Vision[C]. Spain: Curran Associates, Inc.,2008:341-346
[49] Bala. R., DeQueiroz R., Eschbach R., et al. Gamut Mapping to Preserve SpatialLuminance Variations[J]. Journal of Imaging Science and Technology,2001,45(5):436-443
[50] James M.K., Calif M.P. Color Image Gamut-Mapping System with ChromaEnhancement at Human-insensive Spatial Frequencies[P]. USA:289976,1995
[51] Morovic J., Wang Y. A Multi-resolution, Full-color Spatial Gamut MappingAlgorithm[A]. Proceedings of11thIS&T/SID Color Imaging Conference[C]. USA: Societyfor Imaging Science and Technology,2003:282-287
[52] Zolliker P., Simon K., Retaining Local Image Information in Global Gamut MappingAlgorithms[J]. IEEE Transactions on Image Processing,2007,16(3):664-672
[53] Nicolas Bonnier, Francis Schmitt, Micheal Hull, et al. Spatial and Color Adaptive GamutMapping: A Mathematical Framework and Two New Algorithms[A]. Fifteenth Color ImagingConference: Color Science and Engineering Systems, Technologies, and Applications, FinalProgram and Proceedings[C]. USA: Soc. Imaging Science&Technology,2007:267-272
[54] Reiner Eschbach, Raja Bala. Simple Spatial Processing for Color Mappings[J]. Journalof Electronic Imaging,2004,13(1):120-125
[55] Levy Avraham, Shaked Doron. Variational Models for Spatially Dependent GamutMapping[P]. European:03714090.2,2010
[56] Ivar Farup, Carlo Gatta, Alessandro Rizzi. A Multiscale Framework for Spatial GamutMapping[J]. IEEE Transactions on Image Processing,2007,16(10):2423-2455
[57] Nicolas Bonnier. Contribution to Spatial Gamut Mapping Algorithms[D]. France:Telecom Paris Tech.,2008
[58] Li Xiao-zhou, Chen Guang-xue, Jia Chun-jiang, et al. Study on Influence of FilterDesign Parameter on Printing Image Reproduction Quality in Spatial Color GamutMapping[A]. Shinri Sakai, Xavier Bruch. Technical Programs and Proceedings of NIP27[C].USA: The Society for Imaging and Technology,2011:244-247
[59]李琦. RGB-LED背光液晶显示器的色域映射算法研究[D].济南:山东大学,2009
[60]王勇.数字图像设备颜色特征化及其再现理论与技术研究[D].杭州:浙江大学,2006
[61]宋刚.新型显示器的色还原研究[D].天津:天津大学,2008
[62]朱磊.色域拓展技术的研究与实现[D].上海:上海交通大学,2008
[63]姜浩.色域拓展算法研究及硬件实现[D].上海:上海交通大学,2007
[64]何华,黄慧,孙娅妮等. GOG模型在LCD特性化中的适用性研究[J].昆明学院学报,2009,31(3):99-101
[65]王永宁,刘明亮,朱海红.彩色CRT显示器描述颜色特性的数学模型[J].武汉测绘科技大学学报,1996,21(1):73-76
[66]王勇,徐海松,许东晖.显示器颜色特性化模型比较研究[J].浙江大学学报,2006,40(6):1085-1089
[67]蔡圣燕.基于iCAM和实时颜色转换方式对ICC色彩管理机制的改进[D].郑州:解放军信息工程大学,2006
[68] Fairchild M.D. Formulation and Testing of A Chromatic Adaptation Model[J]. ColorResearch and Application,1991, b(16):243-250
[69] FairChild M.D. A Revision of CIECAM97s for Practical Applications[J]. Color Researchand Application,2001,26(6):418-427
[70] Ingeborg Tastl, Miheer Bhachech, Nathan Moroney, et al. ICC Color Management andCIECAM02[A]. STOC’05: Proceedings of the37thAnnual ACM Symposium on Theory ofComputing[C]. USA: Society for Imaging Science and Technology,2005:217-223
[71] Park YungKyung, Li ChangJun, Luo M.R., et al. Applying CIECAM02for MobileDisplay Viewing Conditions[A]. Fifteenth Color Imaging Conference: Color Science andEngineering Systems, Technologies, and Applications-Final Program and Proceedings[C].USA: Society for Imaging Science and Technology,2007:169-173
[72] Y. Xue, Roy S. Berns. Uniform Color Spaces Based on CIECAM02and IPT ColorDifference Equations[J]. Color Research and Application,2006,31(4):320-330
[73] K. Takahama, H. Sobagaki, Y. Nayatani. Analysis of Chroma-Adaptation Effect by ALinkage Model[J]. Journal of Optical Society of America,1977,67(5):651-656
[74] John J. McCann. Color Spaces for Color Gamut Mapping[J]. Journal of ElectronicImaging,1999,8(4):354-365
[75] Mark D. Fairchild, Garrett M. Johnson. Meet iCAM: A Next Generation ColorAppearance Model[A]. Final Program and Proceedings of the10thIS and T/SID ColorImaging Conference: Color Science, Systems and Applications[C]. USA: Society for ImagingScience and Technology,2002:33-38
[76] Mark D. Fairchild, Garrett M. Johnson. Image Appearance Modeling[A]. Proceedings ofSPIE-The International Society for Optical Engineering[C]. USA: SPIE,2003:149-160
[77]黄小乔,石俊生. IPT色空间及其均匀性研究[J].光学学报,2010,30(7):2171-2175
[78] Fairchild Mark D., Johnson Garrett M. iCAM Framework for Image Appearance,Difference, and Quality[J]. Journal of Electronic Imaging,2004,13(1):126-138
[79]柴冰华.色貌模型CIECAM02若干问题的研究[D].北京:北京理工大学,2006
[80]曹朝辉,史瑞芝.在色彩管理系统中应用CIECAM02色貌模型[J].中国印刷与包装研究,2011,3(2):12-16
[81]石俊生. CIECAM02色貌模型应用存在问题及建议解决的方法[J].激光与光电子学进展,2011,48(4):2601(1-8)
[82] Jiangtao Kuang, Garret M. Johnson, Mark D. Fairchild. iCAM06: A Refined ImageAppearance Model for HDR Image Rendering[J]. Journal of Visual Communication&ImageRepresentation,2007,18:406-414
[83] Stone M.C., Wallace W.E. Gamut Mapping Computer Generated Imagery[J]. GraphicInterface91,1991:32-39
[84] Joachim Giesen, Eva Schuberth, Klaus Simon, et al. A Framework for Image-DependentGamut Mapping[A]. Proceedings of SPIE-The International Society for OpticalEngineering[C]. USA: SPIE,2006:5805-5805
[85] Wang Yifeng, Zeng Ping, Luo Xuemei. Color Gamut Mapping Based on ImageFusion[A].2008International Conference on Computer Science and Software Engineering[C].USA: IEEE Computer Society,2008:801-805
[86] Ron Kimmel, Doron Shaked, Michael Elad, et al. Space-Dependent Color GamutMapping: A Variational Approach[J]. IEEE Transactions on Image Processing,2005,14(6):796-803
[87] Peter Zolliker. Retaining Local Image Information in Gamut Mapping Algorithms[J].IEEE Transactions on Image Processing,2007,16(3):664-672
[88] Asaf Golan, Hagit Hel-Or. Novel Workflow for Image-guided Gamut Mapping[J].Journal of Electronic Imaging,2008,17(3):033004:1-11
[89] S. Gorji Kandi, M. Amani Tehran. A New Method for Color Gamut Mapping by GeneticAlgorithm[J]. Prog. Color Colorants Coat.2:95-101
[90]Gustav J. Braun, Mark D. Fairchild. Gamut Mapping for Pictorial Images[OL].http://www.cis.rit.edu/fairchild/PDFs/PRO06.pdf,1999
[91] Arjan Gijsenij, Theo Gevers. Color Constancy Using Natural Image Statistics and SceneSemantics[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(4):687-698
[92] N. Bonnier, F. Schmitt, H. Brettel, et al. Evaluation of Spatial Gamut MappingAlgorithms[A]. Proc.14thColor Image Conference[C]. USA: Society for Imaging Scienceand Technology,2006:56-61
[93] Ethan D. Montag, Mark D. Fairchild. Gamut Mapping: Evaluation of Chroma ClippingTechniques for Three Destination Gamuts[A]. Proceedings of the Sixth Color ImagingConference: Color Science, Systems, and Applications[C]. USA: Society for Imaging Scienceand Technology,1998:57-61
[94]杨卫平,赵达尊,范秋梅等.基于色貌的跨媒体复制[J].光学技术,2005,31(1):101-103
[95] J. Von Kries. Chromatic Adaptation[M]. Switzerland,1902:145-158
[96] Hunt R.W.G. A Model of Color Vision for Predicting Color Appearance[J]. ColorResearch and Application,1982,7:95-112
[97] Hunt R.W.G., Pointer M.R. A Color-Appearance Transform for the CIE1931StandardColorimetric Observer[J]. Color Research and Application,1985,10:165-179
[98] Hunt R.W.G. A Model of Color Vision for Predicting Color Appearance in VariousViewing Conditions[J]. Color Research and Application,1987,12:297-314
[99] Hunt R.W.G. Hue Shifts in Unrelated and Related Colors[J]. Color Research andApplication,1989,14:235-239
[100] Hunt R.W.G. Revised Color Appearance Model for Related and Unrelated Colors[J].Color Research and Application,1991b,16:146-165
[101] Nayatani Y., Takahama K., Sobagaki H., et al. On Exponents of A Nonlinear Model ofChromatic Adaptation[J]. Color Research and Application,1982,7:34-45
[102] Nayatani Y., Hashimoto K., Takahama K., et al. A Nonlinear Color-Appearance ModelUsing Estevez-Hunt-Pointer Primaries[J]. Color Research and Application,1987,12:231-242
[103] Nayatani Y., Takahama K., Sobagaki H., et al. Prediction of Color Appearance underVarious adapting Conditions[J]. Color Research and Application,1986,11:62-71
[104] Nayatani Y., Takahama H., Hashimoto K. Color Appearance Model and ChromaticAdaptation Transform[J]. Color Research and Application,1990b,15:272-284
[105] Nayatani Y., Comi Y., Kamei M., et al. Perceived Lightness of Chromatic Object ColorsIncluding Highly Saturated Colors[J]. Color Research and Application,1992,17:127-141
[106] Nayatani Y., Sobagaki H., Hashimoto K., et al. Lightness Dependency of ChromaScales of A nonlinear Color Appearance Model and Its Latest Formulation[J]. Color Researchand Application,1995,20:156-157
[107] Fairchild M.D. Chromatic Adaptation and Color Appearance[D]. USA: University ofRochester,1990
[108] Fairchild M.D. Formulation and Testing of an Incomplete-Chromatic-AdaptationModel[J]. Color Research and Application,1991,16:243-250
[109] Fairchild M.D. Visual Evaluation and Evolution of The RLAB Color Space[A].IS&T/SID2ndColor Imaging Conference,1994:9-13
[110] Fairchild M.D. Refinement of the RLAB Color Space[J]. Color Research andApplication,1996,21:338-346
[111] M. R. Luo. A Review of Chromatic Adaptation Transforms[J]. Rev. Prog. Coloration.2000,30:77-92
[112] Luo M.R., Lo M.C., Kuo W.G. The LLAB(l:c) Color Model[J] Color Research andApplication,1996,21:412-429
[113] Luo M.R., Hunt R.W.G. The Structure of CIE1997Color AppearanceModel(CIECAM97s)[J]. Color Research and Application,1998,23(3):138-146
[114] Luo M.R., Cui G.H., Rigg. The Development of CIE2000Color-Difference Formula:CIEDE2000[J]. Color Research and Application,2001,26(5):340-350
[115] Fairchild M.D. A Revision of CIECAM97s for Practical Applications[J]. ColorResearch and Application,2001,26:418-427
[116]刘真,孟凡亚,解娴婷. CIECAM02色貌模型的视觉均匀性分析与模型优化[J].影像科学与化学,2009,27(2):128-134
[117] Nathan Moroney, Mark D. Fairchild, Robert W.G. Hunt, et al. The CIECAM02ColorAppearance Model[A]. Final Program and Proceedings-IS and T/SID Color ImagingConference[C]. USA: Society for Imaging Science and Technology,2002:23-27
[118] Moroney, Nathan, Zeng Huan. Field Trials of the CIECAM02Color AppearanceModel[OL]. http://www.hpl.hp.com/personal/Nathan_Moroney/cie-2003-moroney.pdf,2003
[119] Soltic Snjezana, Chalmers Andrew N., Jammalamadaka Radhika. Application of theCIECAM02Color Appearance Model to Predict the Effect of Gamma on the Colors Viewedon CRT Monitors[J]. Signal Processing: Image Communication,2004,19(10):1029-1045
[120]柴冰华,赵达尊,廖宁放等.色貌模型的人工神经网络方法的研究[J].光学技术,2005,31(1):127-129
[121] Akyuz Ahmet Ogutz, Renhard Erik, Pattanaik SUmanta. Color Appearance Models andDynamic Range Reduction[A]. Proceedings of1stSymposium on Applied Perception inGraphics and Visualization[C]. USA: Association for Computing Machinery,2004:166-169
[122] Akyuz Ahmet Oguz, Reinhard Erik. Color Appearance in High–Dynamic-RangeImaging[J]. Journal of Electronic Imaging,2006,15(3):033001
[123]廉玉生.利用中国颜色体系数据集对色貌模型的研究[D].郑州:解放军信息工程大学,2007
[124] Hwi-Gang Kim, Eui Chul Lee, Sung-Hak Lee. Color Correction Using Rotation Matrixfor HDR Rendering in iCAM06[A]. Proceedings of2011IEEE International Conference onComputer Vision Workshops[C]. Spain: Institute of Electrical and Electronics Engineers Inc.,2011:738-744
[125] L. Shapira, A. Shamir, D. Cohen-Or. Image Appearance Exploration by Model-BasedNaviagtion[J]. Computer Graphics Forum,2009,28(2):629-638
[126] O. Lezoray, A. Elmoataz, C. Meurie. Mathematical Morphology in Any Color Space[A].Proceedings-14thInternational Conference on Image Analysis and Processing Workshops,ICIAP[C]. Italy: Inst. of Elec. And Elec. Eng. Computer Society,2007:183-187
[127] Garrett M. Johnson, Xioyan Song, Ethan D. Montag. Derivation of A Color Space forImage Color Difference Measurement[J]. Color Research and Application,2009,35(6):387-401
[128] Apurva Bedagkar-Gala, Shishir K. Shah. Multiple Person Re-identification Using PartBased Spatio-Temporal Color Appearance Model[A]. Proceedings of the IEEE InternationalConference on Computer Vision[C]. Spain: Institute of Electrical and Electronics EngineeringInc.,2011:1721-1728
[129] Chengho Hsin, Hoai-Nam Le, Shaw-Jyh Shin. Color to Grayscale Transform PreservingNatural Order of Hues[A]. Proceedings of2011International Conference on ElectricalEngineering and Informatics[C]. Indonesia: IEEE Computer Society,2011
[130] Javier Vazquez-Corral, Maria Vanrell, Ramon Baldrich, et al. Color Constancy byCategory[J]. IEEE Transactions on Image Processing,2012,21(4):1997-2007
[131] L. Neumann, F. Castro, A. Neumann, et al. Color Appearance in MultispectralRadiosity[OL].http://www.cg.tuwien.ac.at/research/publications/2003/neumann-2003-color/neumann-2003-color-PDF.pdf,2003.
[132] Timo Kunkel, Erik Reinhard. A Neurophysiology-Inspired Steady-State ColorAppearance Model[J]. Journal of the Optical Society of America,2009,26(4):776-782
[133]单宝忠,王淑岩,牛憨笨等. Zernike多项式拟合方法及应用[J].光学精密工程,2002,10(3):319-324
[134] Huang Qinmei, Zhao Dazun. Gamut Boundary Expressed with Zernike Polynomials[J].Proc. SPIE,2002:4922
[135] Morovic J. Color Gamut Mapping, Color Management for Information System[D]. UK:University of Derby,1997
[136] MacDonald L.W. Gamut Mapping in Perceptual Color or Space[A]. Proceedings of1stIS&T/SID Color Imaging Conference[C]. USA: Spring Filed,1993:193-196
[137] Gustav J. Braun, Mark D. Fairchild. General-Purpose Gamut-Mapping Algorithms:Evaluation of Contrast Preserving Rescaling Functions for Color Gamut Mapping[A]. FinalProgram and Proceedings of the7thIS and T/SID Color Imaging Conference: Color Science,Systems and Applications[C]. USA: Society for Imaging Science and Technology,1999:167-172
[138] Viggiano J.A.S., Wang J. A Comparison of Algorithms for Mapping Color BetweenMedia of Differing Luminance Ranges[A]. TAGA Proceedings[C].1992,2:959-974
[139] MacDonald L.W., Morovic J. Assessing the Effects of Gamut Compression in theRe-production of Fine Art Paintings[A]. Proceedings of3rdIS&T/SID Color ImagingConference[C].1995:194-200
[140] MacDonald L.W., Morovic J., Saunders D. Evaluation of Color Fidelity forReproductions of Fine Art Paintings[J]. Museum Management and Curatorship,1995,14(3):253-281
[141] Ethan D. Montag, Mark D. Fairchild. Psychophysical Evaluation of Gamut MappingTechniques Using Simple Rendered Images and Artificial Gamut Boundaries[J]. IEEETransactions on Image Processing,1997,6(7):977-989
[142] Edwin H. Land. The Retinex Theory of Color Vision[J]. Sientific American,1977,237(6):108-128
[143] Ron Kimmel, Michael Elad, Doron Shaked, et al. A Variational Framework forRetinex[J]. International Journal of Computer Vision,2003,52(1):7-23
[144] David H. Brainard, Brian A. Wandell. Analysis of the Retinex Theory of Color Vision[J].Optical Society of America,1986,3(10):1651-1661
[145] Edgar Bernal, Robert P. Loce, Bala. Gamut Aim and Gamut Mapping Method forSpatially Varying Color Lookup Tables[P]. USA:8077352B2,2011
[146] McCann J.J. Color Gamut Mapping Using Spatial Comparisons[A]. Proceedings of theSociety of Photo-Optical Instrumentation Engineering[C]. USA: SPIE-Int. SOC OpticalEngineering,2001:126-130
[147] Morovic J. Public Gamut Mapping Algorithm (PGMA) C Source Code[OL].http://www.colour.org/tc8-03/pgma.html,2001
[148] ISO3664:2000. Viewing Conditions-Prints, Transparencies and Substrates for GraphicArts Technology and Photography[S]. USA: ISO,2000
[149] CIE162Chromatic Adaptation under Mixed Illumination Condition When ComparingSoftcopy and Hardcopy Images[S]. USA: CIE Central Bureau,2004
[150] Mark D. Fairchild. CIE TC1-34Testing Colour-Appearance Models [OL].https://ritdml.rit.edu/bitstream/handle/1850/7868/MFairchildArticle08-1995.pdf?sequence=1,1995
[151] Henry R. Kang. Computational Color Technology[M]. USA: The international Societyfor Optical Engineering,2006:52-60
[152]石俊生. CIECAM02及色貌模型相关问题研究进展[J].云南师范大学学报[J].2011,31(2):1-8
[153]李欣.基于颜色特征的图像检索方法的设计与实现[D].沈阳:东北大学,2008
[154]孙劲光.基于颜色特征的图像数据管理模式研究[D].阜新:辽宁工程技术大学,2006
[155]王义峰.色彩管理若干关键技术研究[D].西安:西安电子科技大学,2008
[156]姚军财,石俊生,杨卫平等.人眼对比度敏感视觉特性及模型研究[J].光学技术,2009,35(3):334-337
[157] Hung-Shing Chen. Three-dimensional Gamut Mapping Method Based on the Conceptof Image Dependence[J]. Journal of Imaging Science and Technology,2002,46(1):44-52
[158] Laihanen P. Color Reproduction Theory based on the Principles of Color Science[A].IARAIGAI Conference Proceedings-Adavances in Printing Science and Technology[C].1987,19:1-36
[159] Sara J.J. The Automated Reproduction of Pictures with Nonreproducible Colors[D].USA: MIT,1984
[160]韩晓微.彩色图像处理关键技术研究[D].沈阳:东北大学,2005
[161]王振华,窦丽华,陈杰.一种尺度自适应调整的高斯滤波器设计方法[J].光学技术,2007,32(3):395-398
[162]姜三平.基于小波变换的图像降噪[M].北京:国防工业出版社,2009:1-12
[163] Smith S., Brady J. Susan. A New Approach to Low Level Image Processing[J].International Journal of Computer Vision,1997,23(1):45-78
[164] Tomasi C, Manduchi R. Bilateral Filtering for Gray and Color Images[A]. Proceedingsof the6thInternational Conference on Computer Vision[C]. India: Bombay,1998:839-846
[165] IEC61966-2-4, Multimedia Systems and Equipment-Color Measurement andManagement. Part2-4: Color Management-Extended-Gamut YCC Color Space for VideoApplications-xvYCC[S].2006
[167]徐岩,李彦,安永成等.宽色域视频标准ITU-R BT.1361与IEC61966-2-4的分析和比较[J].电视技术,2009,33(3):92-94
[168]刘瑞华.基于ICC规范的色彩管理技术研究[D].西安:西安电子科技大学,2008
[169]李栋,宗慧超,徐兰萍等.基于ICC标准的印刷色彩管理色域映射意图自动选择的研究[J].包装工程,2009,30(12):91-94
[170] Shaohua Chen, Azeddine Beghdadai. Improve Gamut Mapping of Color ManagementSystem by Perceptual Quality-Oriented Analysis[A]. Final Program and Proceedings-3rdEuropean Workshop on Visual Information Processing[C]. IEEE Computer Society,2011:12-17
[171] MacDonald L.W., Morovic J., Xiao K. Evaluation of Color Gamut MappingAlgorithms[A]. Proceedings of SPIE-International Society for Optical Engineering[C]. USA:SPIE,2001:890-893
[172] Kress W., Stevens M. Derivation of3D Image Gamut Descriptors for Graphics ArtsOutput Devices[A]. TAGA Proceedings[C].1994:199-214
[173] Morovic J., Luo M.R. Calculating Medium and Image Gamut Boundaries for GamutMapping[J]. Color Research and Application,2000,25:394-401
[174] Morovic J., Luo M.R. Calculating Medium and Image Gamut Boundaries for GamutMapping[J]. Color Research and Application,2000,25:394-401
[175] Phil. Green. Defining Color Gamut Boundaries with a Test Target[A]. Proc. Conf. ColorImaging: Device-Independent Color, Color Hardcopy and Graphic Arts[C]. USA: Society forImaging Science and Technology,2001:105-113
[176]张宏达,王晓丹,白冬婴等.一种基于凸壳算法的SVM集成方法[J].计算机工程,2008,34(17):28-30
[177]蒋联源.凸壳算法及其应用研究[D].桂林:广西师范大学,2007
[178] Cholewo T.J., Love S. Gamut Boundary Determination Using Alpha-Shapes[A].Proceedings of7thIS&T/SID Color Imaging Conference[C]. USA: Society for ImagingScience and Technology,1999:200-204
[179] Paolo Pellegri, Raimondo Schettini. Gamut Boundary Determination for A Color PrinterUsing the Face Triangulation Method[A]. Reiner Eschbach, Gabriel G. Marcu. Proceedings ofSPIE-The International Society for Optical Engineering[C]. USA: SPIE,2003:542-547
[180] Tomasz J. Cholewo, Shaun Love. Gamut Boundary Determination UsingAlpha-shapes[A]. Final Program and Proceedings-IS and T/SID Color ImagingConference[C]. USA: Society for Imaging Science and Technology,1999:200-204
[181] Johnson A.J. Perceptual Requirements of Digital Picture Processing[A], Paperpresented at LARAIGAI Symposium and Printed in part in Printing World[C].1979
[182] Buckley R.R. Reproducing Pictures with Non-reproducible Colors[D]. USA:Massachusetts Institute of Technology,1978
[183] Mark Humphrys. Continuous Output-The Sigmoid Function[OL].http://www.computing.dcu.ie/~humphrys/Notes/Neural/sigmoid.html,
[184] UGRA GAMCOM Version1.1-Program for the Color Gamut Compression and for theComparison of Calculated and Measured Values. Switzerland: UGRA,1995
[185] Fabienne Dugay. Ivar Farup, Jon Y. Hardeberg. Perceptual Evaluation of Color GamutMapping Algorithms[J]. Color Research and Application,2008:470-476
[186] Arne M. Bakke, Ivar Farup, Jon Y. Hardeberg. Predicting the Performance of a SpatialGamut Mapping Algorithm[A]. Proceedings of SPIE-The International Society for OpticalEngineering[C]. USA: SPIE,2009:16-24
[187] Marius Pedersen, Jon Yngve Hardeberg. A New Spatial Hue Angle Metric forPerceptual Image Difference[A]. Lecture Notes in Computer Science[C]. France: SpringerVerlag,2009:81-90
[188]孙佳石.敦煌壁画颜色还原校正方法的研究[D].长春:中国科学院长春光学精密机械与物理研究所,2005
[189]程琰.多基色显示设备颜色再现一些关键问题的研究[D].杭州:浙江大学,2008
[190] Xiaozhou Li, Guangxue Chen, Chunjiang Jia, et al. Research on Color Characteristicsof Original Image in Printing Color Gamut Mapping[J]. Journal of ComputationalInformation Systems,2011,7(8):2867-2875
[191]叶国军,王绍棣.基于CIELab颜色空间和颜色分布信息熵的图像检索[J].计算机工程与应用,2007,43(29):98-100
[192]陈少仿.颜色的空间分布密度与图像检索[J].现代计算机,215:4-8
[193]姚军财,石俊生,黄小乔等.彩色图像对比度定义的探讨[J].云南师范大学学报,2006,26(4):49-51
[194] Meyer J., Barth B. Color Gamut Matching for Hard Copy[A]. SID89Digest[C].1989:86-89
[195]刘瑞华.数字图像去模糊的理论研究及应用[D].上海:华东师范大学,2008
[196]王玉灵.基于双边滤波的图像处理算法研究[D].西安:西安电子科技大学,2010
[197]侯岩.基于双边滤波和小波的车牌定位系统[D].长春:吉林大学,2010
[198] Justin Laird, Remco Muijs, Jiangtao Kuang. Development and Evaluation of GamutExtension Algorithms[J]. Color Research and Application,2009,34(6):443-451
[199] Thurstone L.L. A Law of Comparative Judgement[J]. Psychological Review,1927,34:273-286
[200] Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli. Perceptual Quality Assessment ofColor Images Using Adaptive Signal Representation[A]. Proceedings of SPIE-IS and TElectronic Imaging-Human Vision and Electronic Imaging XV[C]. USA: SPIE,2010:75271L-75271L-9
[201] M. Pedersen, N. Bonnier, Hardeberg J.Y., et al. Attributes of A New Quality Model forColor Prints[J]. Journal of Electronic Imaging,2010,
[202] Peter Zolliker, Zofia Baranczuk, Iris Sprow, et al. Conjoint Analysis for EvaluatingParameterized Gamut Mapping Algorithms[J]. IEEE Transactions on Image Processing,2010,19(3):758-769
[203]马健.基于不同光泽度纸基的墨色质量评估[D].杭州:浙江大学,2010
[204]汪哲弘.颜色视觉辨别特性及色差评价研究[D].杭州:浙江大学,2009
[205]黄庆梅,赵达尊.不同色域映射算法视觉效果的一种评价方法[J].北京理工大学学报,2003,23(4):408-413
[206] Jon Y. Hardeberg. Recent Progress in Quantifying Color Reproduction Quality[A].3rdEuropean Workshop on Visual Information Processing, EUVIP2011-Final Program[C].France: IEEE Computer Society,2011:9-11
[207] Xiao-zhou Li, Guang-xue Chen. Methods and Mechanisms of Expanding DestinationColor Gamut in HF Color Printing[A]. Shinri Sakai, Xavier Bruch, Technical Programs andProceedings of NIP26[C]. USA: The Society for Imaging Science and Technology,2010:443-446
[208] Chunjiang Jia, Guangxue Chen, Xiaozhou Li, et al. Research on Ink Droplet Placementon Moving Substrate[A]. Shinri Sakai, Xavier Bruch, Technical Programs and Proceedings ofNIP27[C]. USA: The Society for Imaging Science and Technology,2011:300-303
[209]李效周,陈广学,崔晓萌.高品质彩色包装印刷中目标色域拓展方法的研究[A].奚德昌.第十三届全国包装工程学术会议论文集[C]. USA: Scientific Research Publishing,2010:325-329
[210]李效周,陈广学,贾春江等.基于高保真颜色再现的色域拓展方法研究[J].包装学报,2011,3(1):19-23
[211]陈广学.地图出版可视化中的数字加网技术研究[D].郑州:解放军信息工程大学,2005
[212] Guang-xue Chen, Xiaozhou Li. Study on Moiré Fringe of Halftone Image and ItsInfluence on Image Optical Representation Effect[A]. Zheng-hua Tan, Yi Wan, Tao Xiang, etal. Proceedings of3rdInternational Congress on Image and Signal Processing[C]. USA: IEEEComputer Society,2010:2376-2380
[213] Guangxue Chen, Xiaozhou Li, Qifeng Chen. Clustering Algorithms for AreaGeographical Entities in Spatial Data Mining[A]. Proceedings of7thInternational Conferenceon Fuzzy Systems and Knowledge Discovery[C]. USA: IEEE Computer Society,2010:1630-1633
[214] Guangxue-Chen, Xiao-zhou Li, Yong-jun Wei, et al. Modeling and Application of3DMap Symbol[A]. Feng Jiao. Proceedings-2010International Conference on MultimediaTechnology[C]. USA: Institute of Electrical and Electronic Engineering, Inc.,2010:1186-1189
[215] Xiaozhou Li, Guangxue Chen. An Overview of Gamut Extension Methods for HighFidelity Color Reproduction[J]. Journal of Computational Information Systems,2010,6(13):4573-4580