色域映對理論應用於顯示器色彩調校之研究｜國立中央大學博碩士論文系統

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研究生：	洪國敦 Gordon Horng
論文名稱：	色域映對理論應用於顯示器色彩調校之研究 Research of display color calibration by gamut mapping theory
指導教授：	歐陽盟 mang-ou yang
口試委員:
學位類別：	碩士 Master
系所名稱：	理學院 - 光電科學與工程學系 Department of Optics and Photonics
畢業學年度：	94
語文別：	中文
論文頁數：	101
中文關鍵詞：	色溫、系統白點、色域映對
外文關鍵詞：	gamut mapping, color temperature, white point
相關次數：	點閱：15 下載：0
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查詢本校圖書館目錄查詢臺灣博碩士論文知識加值系統勘誤回報

顯示器之色彩表現，是顯示器廠商的技術指標之ㄧ，但實際上於賣場或生產線上觀察，同一廠商所生產之顯示器，因材料、製程差異、電路調校及光源模組等等的問題，造成不同機器間所呈現的色外貌不同。過去大部分對於色外貌映對的方法均用於解決CRT 與印表機之間的問題，但實際上目前急速發展的顯示器產業亦存在著無法達到相同色外貌保持的問題，但此方面之色彩調校研究較為缺乏。所以在此引進色域映對技術，希望將色域映對技術應用於此領域中。本研究以相同品牌不同尺寸之兩台液晶顯示器為研究對象，其兩者之色域與特性曲線皆不相同，所呈現的色彩亦不同，研究其色彩校正之問題。
本論文建立了
一：顯示器量測與調校平台
二：色域對映平台
並在色域對映的技術中，以等亮度色域邊界理論為基礎，提出快速的顯示器色域立體繪製方法。此外本論文亦就顯示系統參考白點亮度與色域體積之最佳化做研究。最後以所建立之色域對映平台進行兩螢幕色域對映的實驗。實驗結果顯示，在顯示器之間的映對均以剪裁方式得到較好的結果

Recently, information display system echnologies have encountered a big leap. Companies are changing their emphasis from how to improve manufactory specification process to the basic
demand of display system, satisfying human eyes. Color is one of the most important attribute to this goal. Color inconsistent of the display product lines are one of the serious problems that most manufactures have faced in common. For solving this problem, color appearance calibration technique between similar or dissimilar display system is inevitable. We introduced you a complete research discussion for display color calibration by using gamma curve adjustment and gamut mapping techniques in this thesis. Platforms of the experiment are constructed on two LCD monitors which are in
same brand but different size. Hoping to find the way makes the color appearance to “perceive” equally.
In this thesis we introduced you both
1. Display gamma curve measurement and adjustment platform
2. Display gamut mapping platform with fast GBD algorithms to achieve the goal.

目錄摘要.............................................................I
致謝.................................................................III
目錄.................................................................IV
圖目錄...............................................................VII
表目錄............................................................. .X
第一章 緒論..........................................................1
1-1 前言.............................................................1
1-2 研究目的.........................................................2
第二章 色域映對演算法之沿革..........................................4
2-1 文獻探討.........................................................4
2-2 研究使用之演算法簡介.............................................18
第三章 色彩學........................................................19
3-1 CIE 標準色度系統.................................................19
3-2 CIE 表色空間.....................................................19
3-2-1 CIEXYZ 色彩空間................................................21
3-2-2 CIE xy 色度圖..................................................23
3-2-3 CIELAB 均勻色彩空間............................................24
3-2-4 LCh 色彩空間...................................................25
3-3 混色原理.........................................................26
3-4 色溫.............................................................27
3-5 sRGB 標準........................................................29
3-6 色域映對的目標...................................................30
3-7 人眼心理實驗方法.................................................32
第四章 顯示器色彩特性之量測與校正....................................34
4-1 受測顯示器特性介紹...............................................34
4-2 自動顯示器特性測量與校正平台介紹.................................36
4-3 螢幕特性修正反曲線演算法.........................................38
4-4 實驗結果與討論...................................................42
4-4-1 實驗流程.......................................................42
4-4-2 實驗結果與討論 ................................................43
第五章 色域映對理論與分析模擬........................................45
5-1 色域映對平台建立.................................................45
5-1-1 色彩空間轉換...................................................45
5-1-2 三維色域表面資料與視覺化.......................................46
5-1-3 壓縮方向與色域邊界交點之計算...................................56
5-2 等色溫點與顯示系統亮度關係.......................................58
5-2-1 理論介紹.......................................................58
5-2-2 理論模擬.......................................................63
5-3 等色溫點與顯示系統色域體積關係...................................66
5-3-1 色域體積計算方法...............................................67
5-3-2 等色溫最高亮度白點與色域體積之關係.............................67
第六章 實驗..........................................................70
6-1 等色溫線最大亮度白點實驗.........................................70
6-2 色域映對之實施...................................................73
6-2-1 實驗流程圖.....................................................73
6-2-2 實驗螢幕參數比較...............................................75
6-2-3 觀看環境定義...................................................76
6-2-4 測式圖片介紹...................................................77
6-2-5 人眼視覺評估結果...............................................79
第七章 結論與未來展望................................................81
7-1 結論.............................................................81
7-2 未來展望與發展...................................................82
參考文獻.............................................................84

                                

參考文獻
[1] Javier Herna´ ndez-Andre´ s, Raymond L. Lee, Jr., and Javier
Romero, Calculating correlated color temperatures across the entire
gamut of daylight and skylight chromaticities”, APPLIED OPTICS ,
Volume. 38, No. 27, pp. 5703-5709, 20 September 1999
[2] Mang Ou-Yang, Yi-Ting Kuo, Shi-Wen Huang, Gordon Horng and
Jun-Qian Liao, "Optimization of the color coordinate and brightness
in high-resolution information displays," AIC Colour 05 Scientific
Committee, Gradada, Spain, May 2005
[3] Honam Lee; Hyungjin Choi; Bonggeun Lee , “One-dimensional
conversion of color temperature in perceived illumination”, IEEE
Transactions on Consumer Electronics,Volume 47, Issue 3 ,pp.340-346,
Aug. 2001
[4] Johnson A.J. ,”Perceptual Requirements of Digital Picture
Processing ”, IARAIGAI symposium and printed in part in Printing
World 6, Feb. 1980
[5] Sara J. J. ,The Automated Reproduction of Pictures with
Nonreproducible Colors, PhD. Thesis, Massachusetts Institute of
Technology(MIT)
[6] Laihanen P. ,”Colour Reproduction Theory based on the Principles of
Colour Science, ”IARAIGAI Conference Proceedings-Advances in
Printing Science and Technology, Volume 19, pp.1-36, 1987
[7] Hunt R. W. G., The Reproduction of Colour in Photography, Printing
and Television, 4th ed.(Fountain Press, England,1987)
[8] Stone M. C., Cowan W. B. and Beatty J. C., “Color Gamut Mapping
and the Printing of Digital Color Images,”ACM Transactions on
Graphics, Volume 7, pp. 249-292, 1988
[9] Gentile R. S., Walowitt E. and Allebach J. P.,“ A Comparison of
Techniques for Color gamut mismatch compensation,”Journal of
Imaging Technology, Volume 16, pp. 176-181, 1990
[10] Stone M. C. and Wallace W. E., “Gamut Mapping Computer
Generated Imagery,”Graphics Interface, pp. 32-39, 1991
[11] Viggiano J. A. S. and Wang J., “A Comparison of Algorithms for
Mapping Color Between Media of Differing Luminance
Ranges,”TAGA proceedings, Volume 2, pp. 959-974, 1992
[12] CARISMA, “Colour Appearance Research for Interactive System
Management and Application – CARISMA,” Work Package 2 –
Device Characterisation, Report WP2-19 Colour Gamut Compression,
1992.
[13] Hoshino T. and Berns R. S., “Determination of Constant Hue Loci
for a CRT Gamut and Their Predictions Using Color Appearance
Spaces,” Color Research and Application, Volume 20, pp. 285-295,
1995
[14] MacDonald L. W., “Gamut Mapping in Perceptual Colour
Space,”Proceedings of 1st SID Color Imaging Conference, pp.
193-196,1993
[15] Ruetz B.,” Color printing Method and Apparatus Using an
Out-of-Gamut Color table,”Canon Information Systems, U. S. Patent
5,299,291, 1994
[16] Spsulding K. E., Ellson R. N. and Sullivan J. R.，”UltraColor: A New
Gamut Mapping Strategy,”SPIE Proceedings, Volume 2414, pp.
61-68,1995
[17] Katoh N. and Ito M., “ Gamut Mapping for Computer Generated
Images(II),” Proceedings of 4th SID Color Imageing Conference, pp.
126-129, 1996
[18] Montag E.D. and Fairchild M.D., “ Psychophysical Evaluation of
Gamut Mapping Techniques Using Simple Rendered Images and
Artificial Gamut Boundaries,”IEEE Trans. Image Proc., Volume 6, pp.
977-989, 1997
[19] Wei R.Y.C., Shyu M.J. and Sun P.L., “ A New Gamut Mapping
Approach Involving Lightness, Chroma and Hue Adjustment,” TAGA
proceedings, pp. 685-702
[20] Morovic J., To Develop a Universal Gamut Mapping Algorithm ,
PhD. Thesis, Universitu of Derby, October 1998
[21] E. Pirrotta, T. Newman, and L. Lavendel, “ A universal gamut
mapping algorithm?,” in Proceedings of the Colour Image Science
Conference, pp. 313-320, april 2000
[22] Berns, R., Principles of Color Technology, 3rd Edition, pp.107-122,
2002
[23] L.W. MacDonald and M.R. Luo, Colour Image Science,(John Wiley
& Sons, 2002)
[24] Byoung-Ho Kang, Jan Morovi, et. al, “Gamut Compression and
Extension Algorithms Based on Observer Experimental Data, ”ETRI
Journal, Volume 25, No.3, June 2003
[25] Virendra N. Mahajan,” Optical Imaging and Aberration,” (SPIE-The
International Society for Optical Engineering, 1998)
[26] Danny Pacale, “A Review of RGB Color Spaces,” BabelColor intfo
notes
[27] G. Wyszecki and W.S. Stiles, color science: Concepts and Methods,
Quantitative Data and formulae,2nd ed.(Wiley, New York, 1982)
[28] 大田登, “基礎色彩再現工程,＂全華科技圖書,2004
[29] Michael Stokes , Matthew Anderson , Srinivasan Chandrasekar ,
Ricardo Motta, “A Standard Default Color Space for the Internet —
sRGB” , Version 1.10, November 5 1996
[30] Chen Hung-Shing and Hiroaki Kotera, “Three-dimensional gamut
mapping method based on the concept of image-dependence,” Journal
of Imaging Science and Technology, Vol.46, Num.1,pp.44-52, 2002
[31] Jan Morovic and M. Ronnier Luo, “Calculating Medium and Image
Gamut Boundaries for Gamut Mapping,” Color Research and
Application, Vol.25,pp.394-401, 2000
[32] Ryoichi Saito and Hiroaki Kotera, “Extraction of Image Gamut
Surface and Calculation of its Volume,” Proceedings of IS&T NIP16,
pp.566-569, 2000
[33] G. J. Braun and M. D. Fairchild, “Techniques for Gamut Surface
Definition and Visualization,” Proceedings of 5th IS&T/SID Color
Imaging Conference,pp.147-152, 1997
[34] H. Edelsbrunner and E. P. Mucke, “Three-dimensional alpha
shapes,” ACM Trans. Graphics, Volume 13, pp. 43-72, 1994
[35] T. Y. Yang, “Finite Element Structural Analysis, ” Prentice Hall,
pp.446-449, 1986
[36] David F. Watson, “Contouring: A guide to the analysis and display of
spacial data,” Pergamon, 1994
[37] Kelley, K. L. 1963, “Lines of constant Correlated Color Temperature
Based on MacAdam’s (u,v) Uniform Chromaticity Transformation of
the CIE Diagram,” Journal of the Optical Society of America, Volume
53, No.8, pp. 999-1002, August 1963
[38] C.S. McCamy, ” Correlated color temperature as an explicit function
of chromaticity coordinates,” Color Res. Appl. 18, 150(1992)
[39] Thurstone L.L. (1927)A Law of Comparative Judgment,
Psychological Review, 34:273-286

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