基于多项式回归逼近的LED显示色域变换技术研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
对LED显示屏校正前要进行XYZ色度参数采集,现有的色度采集设备包括两种,点采集设备和面采集设备,点采集设备价格便宜,操作简单,但是不能海量采集,面采集设备可以海量采集,但是价格昂贵,现场不易操作。LED领域常用的采集设备之一是彩色CCD原型机,但只能采集到LED像素的RGB色域数据,其光谱响应与人的视觉有一定差异,需要转换成一个与设备无关的XYZ色域空间,本文提出一种基于多项式回归逼近方法的LED显示色域转换技术,利用该技术可以使彩色CCD原型机采集到的RGB数据转换成CIE标准XYZ色域数据,从而完成色度采集,该色度采集方法成本低,操作简单,可以完成大面积的色度采集,兼顾了点采集设备和面采集设备的优点,是一种方便有效的色度采集方法。
     全文主要由三部分组成:
     首先,介绍了色域转换样本数据提取的相关内容,其中包括:彩色CCD原型机的曲面修正、噪声去除、样本LED点的定位、识别、RGB数据及XYZ色域数据的提取,为色域转换提供数据。
     其次,利用多项式回归逼近法对CCD原型机采集到的RGB数据进行转换。先利用光谱分析法分析CCD原型机的光谱函数曲线、LED的光谱曲线和CIE1931三刺激函数曲线的关系,转换矩阵的特性化收束因子由此得出,然后利用目标色分析法中的多项式法,把样本LED像素点的RGB值和XYZ值代入,找到拟合最佳的情况下的多项式系数,求出最小误差,从而找到CCD原型机采集到的RGB数据转换成XYZ色域数据的红绿蓝转换矩阵。
     最后,为验证转换的正确性,给出色差和校正前后的图片对比,并把多项式回归逼近法与神经网络法和查表法进行对比,验证该方法的精确性及有效性。
     利用基于多项式回归逼近的LED显示色域变换技术建立了从RGB色域到XYZ色域的转换关系,进而完成色度采集。本文的研究成果开创了单独用彩色CCD原型机来采集LED色度和校正LED屏幕的先例,有较大的理论和实用参考价值,为今后深入研究打下了理论基础、积累了实践经验。
Chroma parameters of XYZ should be acquired before calibration to LED display.There are two kinds of existing chroma collecting devices: point collection device andsurface collection device. Point collection device is inexpensive, being simple tooperate, but it can not be mass collecting. Surface collection device can be masscollecting, but it is very expensive and not easy to operate. One of the commonchroma collection devices is CCD prototype. It can collect data of RGB color gamutof LED pixels. Its tristimulus values are different from human·s vision. They shouldbe changed to a device independent color gamut, for example, XYZ. This paperproposes a color gamut transformation technology of LED based on polynomialregression and approximation. Using this method can transform the acquired RGBdata of color CCD prototype to CIE standard XYZ color gamut data. Chromacollection can be finished consequently. It is not expensive, easy to operate. It canaccomplish collecting of color gamut in mass surface and give consideration toadvantages of point collecting device and surface device. It is a convenient andeffective color gamut collecting method.
     Full text can be mainly devided into three parts:
     At first, related contents on collection of sample data for color gamuttransformation are introduced, include: curved surface modification and noisereduction for color CCD prototype, location and recognition of LED pixels, extraction of sample·s color gamut data in RGB and XYZ. It can provide data for color gamuttransformation.
     Secondly, LED display·s color gamut is transformed using method of polynomialregression and approximation. The relationships between spectral response curve ofCCD prototype, tristimulus of CIE XYZ and curve of spectrum of LED are analysed.Characterized convergence factors of the matrix can be obtained. Then polynomialmethod in target color analysis methods should be used to find out the multinomialcoefficients in best situation of matching when sample LED pixels· values of RGBand XYZ are substituted. Minimum error is counted out. Transfer matrix of red, greenand blue from RGB to XYZ of LED display is acquired consequently.
     At last, in order to test and verify validity of transformation, chromatic aberration,photos before calibration and after calibration are given out. Furthermore,comparisons between polynomial regression method and neural network method andLUT method are made. Accuracy and validity of this method is tested and verified.
     Color gamut transformation technology of LED base on polynomial regressionand approximation sets up the relationship between color gamut of RGB and XYZand then accomplish the collection of chroma. The research result of this paper opensup the precedent that only using CCD prototype to collect LED display·s chroma andcalibrate the LED display. It is valuable both in theory and in practice. It lays a solidfoundation for theoretical basis and practical experience for future.
引文
[1]杜杨.LED进化史[J].无线电,2009,4:6-12.
    [2]发光二极管,维基百科[EB/OL]. http://zh.wikipedia.org/zh-cn/LED.
    [3]张俏梅. LED显示屏色度校正原理与应用[J].现代显示,2012,140:271-273
    [4] J. A. Castellano. Trends in the global CRT market[J]. SID Intl. Symp. Digest ofTech,33:356-359.
    [5] K. I. Werner. The flat panel·s future[J]. IEEE Spectrum30,1993,18-26.
    [6] Barco. Uniform Luminance Technology[Z]. www.barcomedical.com.
    [7] S Harris. Color and luminance uniformity correction for LED video screens[J].Signindustry.com,2007,8(20).
    [8]李熹霖.备受关注的LED显示新技术[J].激光与红外,2006年12月.
    [9]荆其诚,焦书兰.色度学[M].第2版.北京:科学出版社,1983.
    [10]陈宇.基于拟合逼近理论的平板图像显示技术研究.中国科学院长春光学精密机械与物理研究所博士学位论文[D],2004.
    [11]李熹霖.全彩色显示屏的白平衡和色均匀问题[J].2004,2:15-18.
    [12]李熹霖. LED显示屏的色度均匀性和色保真度[J].现代显示,2006,6:9-15.
    [13]Senfar Wen. Display gamut comparison with number of discernible colors[J].Journal of Electronic Imaging,2006,15(4):043001.
    [14]Meng Liang, Manning Fan, Debo Guo et al.. Research on Color Matching ofLED Backlight for Large-Color-Gamut LCD Application[C]. Proc. of SPIE,2009,6841(68410Y):1-5.
    [15]Wen Senfar. Primary design of wide-color-gamut displays for matching the colorgamut of objects[J]. Digest of Technical Papers-SID International Symposium,2007,38(2):1057-1060.
    [16]G. WYSZECKI, W.S. STILES. Color Science: Concepts and Methods,Qualitative Data and Formulae[M]. Second Edition. New York:John Wiley&Sons,1982.
    [17]Guowei Hong,M.Ronnier Luo and Peter A.Rhodes.A Study of Digital CameraColorimetric Characterization Based on Polynomial Modeling[J]].ColorRes.Appl.,2001,26(1):76-84
    [18]Mutsuko Nichogi and Kanamori.Network color management system using acluster dividing method[C].Proc.SPIE,2001.4663:199-206.
    [19]Kobus Barnard,Brian Funt. Camera Characterization for Color Research[J].ColorRes.Appl.,2002,27(3):152-163.
    [20]吴静.基于BP神经网络的数码相机特性化[J].光学,2004,30(5):577-579
    [21]胡威捷,汤顺清,朱正芳.现代颜色技术原理与应用[M].北京:北京理工大学出版社,2007.237-250
    [22]刘伟奇,冯睿,周丰昆.孟赛尔颜色系统与人眼主观亮度的关系[J].光学精密工程,1998,6(3):31-35.
    [23]胡成发.印刷色彩与色度学[M].北京:印刷工业出版社,1993.
    [24]刘娟.颜色测量方法[J].印刷质量与标准化,2008,(06).
    [25]滕秀金.颜色测量技术[M].北京:中国计量出版社,2007年6月.
    [26]David Travis. Statistical Methods for Testing the Visual Quality of Displays,Displays,1998,19(18):29-36.
    [27]Marr D., Vision:a computational investigation into the human representation andprocessing of visual information,μNew York:W.H.Freeman and CompanyPress,1982.
    [28]CIE, Colorimetry(Publication CIE NO15.3)[S].third edition, Austria, CentralBureau of the CIE.2004.
    [29]Commission Intemationale de l'Eclairage. Measurement of LEDs.PublicationCIE127-1997.
    [30]D.L. MACADAM, Visual Sensitivities to Color Differences in Daylight[J], J. Opt.Soc. Am.1942,32,247-273.
    [31]杨睿.光源色度快速测量方法探讨[J].光机电信息,2011,(02).
    [32]潘建根,岳红轩,沈海平,王万良.分光法测量LED颜色的不确定度分析[J].光电子激光,2008,(02).
    [33]李宏光,吴宝宁,施浣芳,袁良,杨峰,俞兵,曹锋.几种颜色测量方法的比较[J].应用光学,2005,26(3):60~63.
    [34]潘建根. LED光色电综合性能分析测试原理与仪器.液晶与显示,2003,18(2):138-140.
    [35]发光二极管LED测量方法[S].2008.
    [36]鲍超.超高亮度LED测量问题.液晶与显示,2003,18(4):244-250.
    [37]Commission Intemationale de l'Eclairage. Measurement of LEDs.PublicationCIE127-1997.
    [38]Liang, K.Li, W.,Ren H.R.,Liu X.L.,Wang W.J.,Yang R.,Han D.J.. Colormeasurement for RGB white LEDs in solid-state lighting using a BDJphotodetector[J]. Displays,2009,30(3):107-113.LED
    [39]Video Electronics Standards Association (VESA) Flat Panel DisplayMeasurements Standard Version1.0, Milpitas, CA,1998.
    [40]杨城.基于彩色CCD原型机的LED色度测量方法的研究[D].西安电子科技大学,2010.
    [41]朱超,堵国樑.全彩LED显示屏灰度校正方法研究[J].电子工程师,2008年05期.
    [42]郭志友,范广涵,孙慧卿. LED显示屏亮度和颜色的调整方法[J].液晶与显示,2003,18(4):299-301.
    [43]周晶晶.基于色彩校正的LED显示屏逐点校正系统的设计与实现[D].中国优秀硕士学位论文全文数据库,2008.
    [44]赵星梅. LED显示屏亮度非均匀性逐点校正技术的研究[D].中国优秀硕士学位论文全文数据库,2009.
    [45]陈颖,李海峰,刘旭.液晶投影显示颜色均匀性的测量及校正系统.光电工程,2004,31(12):44-49.
    [46]郑臻荣,顾培夫.液晶投影显示的色纯度和色均匀性.光电工程,2002,29(5):30-32.
    [47]袁胜春,杨城,杨成沛. LED显示屏逐点校正应用中几个重要问题的探讨[J].2010全国LED显示应用技术交流暨产业发展研讨会文集,2010.
    [48]金福寿. LED视频显示屏显示图像质量评估与改进方法.中国科学院长春光学精密机械与物理研究所硕士学位论文,1998.
    [49]李熹霖,LED显示屏逐点色度亮度校正技术讲座[J],现代显示,2011,124:5-8.
    [50]朴燕,金福寿,陈宇,丁铁夫. LED视频显示屏亮度校正的一种方法[J].发光学报,1997,18(1):68-70.
    [51]Wen SF. Display gamut comparison with number of discernible colors [J].JOURNAL OF ELECTRONIC IMAGING,2006,15(4):4308-43001.
    [52]Bala R. Challenges in color reproduction: Towards higher dimensions [C]. Proc.SPIE5667,2005:162-169.
    [53]Wen SF. Representations of relative display gamut size [J]. JOURNAL OFDISPLAY TECHNOLOGY,2008,4(1):18-23.
    [54]Hsu Yu-Ju, Chien Ko-Wei,Chen Hsin-Ming. Smart portable display system withadjustable color gamut control using dual LED light sources[J]. Digest ofTechnical Papers-SID International Symposium,2006,37(4):1492-1494.
    [55] Kim Moon-Cheol. Optically adjustable display color gamut in time-sequentialdisplays using LED/Laser light sources[J]. Displays,2006,27(4-5):137-144.
    [56]Liu Ying, Song Gang,Li Hua. A hue-preserving Gamut expansion algorithm inCIELUV color space for wide Gamut displays[J]. Proceedings-20103rdInternational Congress on Image and Signal Processing, CISP2010,5,2401-2404.
    [57]Finlayson, Graham D., Drew, Mark S., White-point preserving color correction[C], Proceedings of the Color Imaging Conference: Color Science, Systems, andApplications,1997,258-261.
    [58]Maureen C. Stone. Color balancing experimental projection displays[J].9thIS&T/SID Color Imaging Conference,2001.
    [59]Muthu S, Schuurmans FJP, Pashley MD, et al. Red, green, and blue LEDs forwhite light illumination [J]. JOURNAL OF SELECTED TOPICS IN QUANTUMELECTRONICS,2002,8(2):333-338.
    [60]Majumder Aditi, Brown Robert G, El-Ghoroury Hussein S., Display gamutreshaping for color emulation and balancing [C].2010IEEE Computer SocietyConference on Computer Vision and Pattern Recognition-Workshops, CVPRW2010,2010,17-24.
    [61]何凯,唐平凡,王成优.基于高斯曲面拟合的影像偏差修复方法[J].电子学报,2009,37(1)67-71.
    [62]何凯,赵红颖,刘晶晶.航空遥感影像偏差复原方法[J].吉林大学学报,2007,37(6)1447-1450.
    [63]李炜,黄心汉,王敏,等.基于二维高斯曲面拟合的图像灰度补偿算法[J].华中科技大学学报(自然科学版),2004,32(2),43-45.
    [64]冯强,霍俊彦,杨海涛,等.一种新颖的图像抗偏差技术[J].电子科技,2007.217(10),67-71.
    [65]张鑫,王瑞光,陈宇,等. LED显示屏相机采集影像偏差的修正[J].光学精密工程,2010,18(11):2332-2338.
    [66]屠大维,吴仍茂,杨恒亮,等. LED封装光学结构对光强分别的影像[J].光学精密工程,2008,16(5):2332-2338.
    [67]S. Süsstrunk, R. Buckley, S. Swen. Standard RGB Color Spaces[J]. Proc. The7thcolor imaging conference, Scottsdale, USA,1999. RGB模型
    [68]罗红娥,陈平,顾金良等.线阵CCD测量系统的镜头畸变校正新方法[J].半导体光电,2009,30(3):441-443.
    [69]L. Svilainis, LED brightness control for video display application[J], Displays,2008,Vol.29, No.5., pp.506-511.
    [70]王庆有. CCD应用技术.天津:天津大学出版社,2000.
    [71]王明刚,李志能.用电荷耦合装置实现显示屏色度的快速测量.浙江大学学报,2005.
    [72]Jenkins David R, Beuzekomb Dingeman C, Kollmanc Gerry, et al. Digitalimaging colorimeter for fast measurement of chromaticity coordinate andluminance uniformity of displays. Proc. SPIE,2001,4295:176-187.
    [73]Feng Yongmao, Ding Tiefu. A method for OLED test. Acta Optica Sinica,2003,23:805-806.
    [74]王瑞光,陈宇,金福寿,朴燕,张建涛. LED视频图像显示屏图像显示质量的简易测定及评估方法.液晶与显示,1998,13(3):187-189.
    [75]时大鑫,郝喜,段万通,李超,熊斌.显示器色度测量仪器及测量方法.现代显示,2006,6:16-22.
    [76]李晓华,童林夙,杨晓伟,王琦龙.平板显示器件的参数测量及标准.液晶与显示,2003,18(6):432-435.
    [77]陆荣庆.显示屏亮度测量方法及测量仪器.现代显示,2004,2:27-29.
    [78]Tominaga Shoji, Horiuchi Takahiko,Yoshimura Akihiko. Real-time colormeasurement using active illuminant[J]. Proceedings of SPIE-The InternationalSociety for Optical Engineering,2010,7528,.
    [79]J. W. Roberts, E. F. Kelley. Measurements of Static Noise in Display Images[J].SPIE: Electronic Imaging Symposium,2001,4295B-27.
    [80]刘文耀.数字图像采集与处理[M].北京:电子工业出版社,2007.
    [81]郑喜凤,宋新丽,刘贵华等.一种基于区域最大值的LED显示屏亮度特征数据提取方法[J].液晶与显示,2008,4(23):453-457.
    [82]MULTIPLE OUTPUT SENSORS SEAMS CORRECTION[OL], Kodak CCDimage sensors application note,2009, pp4-7.
    [83]Kosztyán Z.T., Eppeldauer G.P.,Schanda J. D.,et a1.. Matrix-based colormeasurement corrections of tristimulus colorimeters[J]. Applied Optics,2010,49(12):2288-2301.
    [84]Tahseen E., Tomohiro H., Gosuke O., et a1.. Development of a Camera Systemfor the Acquisition of High-Fidelity Colors[J]. IEICE TRANSACTIONS onElectronics,2006, E89-C(10):1441-1447.
    [85]大石严,烟田丰彦,田村彻.显示技术基础[M].北京:科学出版社.2003.
    [86]Aditi Majumder, Rick Stevens. Color Nonuniformity in Projection BasedDisplays: Analysis and Solutions[J]. IEEE Transactions on visual-lizetion andcomputer graphics,2003, XX(Y):100-11.
    [87]Aditi Majumder, Zue He, Herman Towles.Achieving color uniformity acrossmulti-projector displays[J]. Proceedings of IEEE Visualization,2000.
    [88]Schanda, J., CIE colorimetry and colour displays[C], Proceedings of the ColorImaging Conference: Color Science, Systems, and Applications,1997,pp230-233.
    [89]R.C. Carter, E.C. Carter, CIE L*,u*,v*color difference equations for selfluminance displays[J], Color Research and Applications,1983,vol.8,pp.252-253.
    [90]Jennifer Gille,Larry Arend and James Larimer.Display Characterization By Eye:Contrast Ratio and Discrimination Throughout the Grayscale,[J]Proc. ofSPIE-IS&T Electronic Imaging.2004,5292:218-233.
    [91]W. Wu, J. P. Allebach, M. Analoui. Imaging colorimetry using a digital camera.Imaging Sci. Technol,2000,44:267-279.
    [92]Barco. Uniform Luminance Technology[Z]. www.barcomedical.com.
    [93]P.Campadelli,C.Gangai,and R.Schettini.Learning Colour-Appearance ModelingUsing Feed-Forward Networks with [J].Color Res.&Appl.,1999,24(6):411-421.
    [94]John H. Xin, Sijie Shao, and Korris Fu-lai Chungl.Colour-Appearance ModelingUsing Feedforward Networks with Bayesian Regularization Method-PartI:Forward Model [J]. Color Res.&Appl.,2000,25(6):424-434.
    [95]John H. Xin et al. Colour-Appearance Modeling Using Feedforward Networkswith Bayesian Regularization Method-Part II: Forward Model [J]. ColorRes.Appl.,2002,27(2):116-121.
    [96]Shoji Tominaga. Color Notation Congersion by Neural Networks [J]. Color Res.Appl.,1993,19(4):253-259.
    [97]邢文训,谢金星。现代优化计算方法[M].北京:清华大学出版社.1999.
    [98]廖宁放.基于神经网络的CRT色度变换方法[D].北京:北京理工大学.1999.
    [99]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.
    [100] Simon Haykin,叶世伟,史文植,译.神经网络原理[M].北京:机械工业出版社,2004:123-145.
    [101] Hush, D.H., and B. G. Horne. Progress in supervised neural networks:What·s new since Lippmann [J]. IEEE Signal Progressing Magazine,1993,10(1):8-39.
    [102]张建功,贾果欣,曲兴华.基于人工神经网络的CCD数码相机颜色特征化[J].传感器与微系统.2010,29(2).
    [103]吴静,杨卫平,欧家.基于BP神经网络的数码相机特性化[J].光学技术.2004,30(5).
    [104]陈海燕,谢明远,王帅鹏等.全彩色L E D显示屏色度均匀性优化校正[J].中山大学学报.2009,48(2).
    [105]宫辉.基于数码相机的彩色图像处理研究[D]:[博士学位论文].天津:天津大学,2008.
    [106]周瑞.彩色数码相机色彩空间转换模型的研究[D]:[硕士学位论文].西安:西安理工大学,2007.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700