本論文對平板顯示器在不同環境光級別下的色域和階調進行研究，並進行視覺評價實驗，本研究分成以下兩個實驗進行。實驗一為「色域與階調標準化建模」，探討使用色度計測量平板電腦之液晶顯示器，在考慮外部環境光和內部漏光下，不同環境光下的參考白選取與標準化，讓平板顯示器在不同環境光級別下可以同時比較，可看出色域與階調的變化。結果顯示當環境光級別從暗室變為明亮室時，
平板顯示器的影像色外貌受到變化，具有較小色域體積和較窄明度範圍的趨勢。也可以看出，同樣環境光條件從暗室變為明亮室時，校準後的階調複製曲線的γ值變小。實驗二為「平板顯示器人眼評價」，以可調式顯示器校正成與平板顯示器相同顯示器規格，其中平板顯示器調整了App軟體（X-rite ColorTrue）三種模式設定和四種實際環境光級別，共六張影像進行視覺評價實驗，探討可調式顯示器的標準影像和平板顯示器的測試影像在何種方法下的相似度較好，結果顯示當軟體模式設定模式搭配環境光組合下，dk_0 (暗室設定、照度為0 lux)、oe_500 (辦公室設定、照度為500 lux)、bt_1000 (亮室設定、照度為1000 lux)條件下之相似度較好，可推論出由於軟體設定模式補償，造成顯示器系統在變換計算流程中，階調複製曲線之γ值和原色變換矩陣的改變，會改變視覺評價的相似度。本論文提出一種可預測在不同環境光下平面顯示器的補償模型，提供一個適合的色彩品質
範圍，來達到不同移動設備之間的色彩一致性。

In this study, the color gamut and tone reproduction curve of LCD (liquid crystal display) of tablet display under different ambient light levels are studied, and then the visual evaluation of human factors experiments is carried out. The research is divided into the following two experiments. Experiment 1 is standardized modeling of color gamut and tone reproduction curve and explores the use of a colorimeter to measure LCD. Under consideration of external ambient light and internal light leakage, reference white selection, and standardization under different ambient light levels. LCD can be compared at different ambient light levels at the same time, clearly showing changes in color gamut and tone curve. The results show that when the ambient light level changes from a dark room to a bright room, the color rendering capability of LCD is affected, with a tendency to have a smaller color gamut volume and a narrower lightness range. It can also be seen that when the ambient light condition is changed from a dark room to a bright room, the gamma value of the calibrated tone reproduction curve becomes smaller. Experiment 2 is human eye evaluation using a calibrated desktop LCD, with adjustable display corrected to the same color gamut as LCD, wherein LCD adjusted three settings and four ambient light levels, a total of twelve methods for human vision. The evaluation experiment explores the best similarity between the standard image of the adjustable display and the test image of the LCD. The result shows that when the different combination of software (X-rite ColorTrue) setting mode and ambient light, the dk_0 (darkroom setting, 0 lux), oe_500 (office room setting, 500 lux), bt_1000 (bright room setting, 1000 lux) similarity is better, furthermore, the result of Experiment 1 is continued. It can be inferred that the value of the tone reproduction curve and linear transformation matrix in the display conversion calculation process are changed due to the software setting mode compensation, which affects the similarity of the human eye evaluation. Based on the above two experimental results, a compensation model for predicting tablet displays under different ambient light is proposed to provide a suitable range of color quality to achieve color consistency between different mobile devices.

[1] Fairchild, M.D.: Human Visual System-Color Visual Processing, Encyclopedia of Imaging Science and Technology, John Wiley & Sons (2002).

[2] Berns, R.S., Principle of Color Technology, John Wiley&Sons (2000).

[3] 大田登著，陳鴻興、陳詩涵譯， 「色彩工程學：理論與應用」，全華圖書(2008)。

[4] 動物的彩色視覺都適用三原色原理嗎? http://wap.sciencenet.cn/blog-39029-968275.html?mobile=1 ( 上 網 日 期 2019/1/21)。

[5] 胡國瑞、孫沛立、徐道義、陳鴻興、黃日鋒、詹文鑫、羅梅君，台北市， 「顯 示色彩工程學」，全華圖書(2011)。

[6] Noboru Ohta & Alan R.Robertson: Colorimetry, Wiley (2005).

[7] ICDM, SID. “Information Display Measurements Standard.” (2012).

[8] Finding the Best Gamma From a Data Set,: http://www.brucelindbloom.com (上 網日期:2019/1/10).

[9] 魏碩廷、陳鴻興、徐明景、李文淵、謝翠如、吳瑞卿、孫沛立，「色彩新論: 從心理設計到科學應用」，五南圖書 (2018)。

[10] 陳鴻興、蕭琇霙， 「圖解現代色彩學」，五南圖書 (2018)。

[11] Cui, G., Luo, M. R., Rigg, B., & Li, W., “Colour‐difference evaluation using CRT colors. Part I: Data gathering and testing color difference formulae,” Color Research & Application, 26(5), 394-402 (2001).

[12] 蔡旻諺，「光源演色指數評價設計之研究」，國立台灣科技大學碩士論文 (2015)。

[13] Fairchild, M.D., “Color Appearance Models,” John Wiley & Sons, Rochester Institute of Technology, USA (2005).

[14] 張碩文， 「不同環境光照度下平面顯示器之視覺舒適度研究」，國立台灣科技 大學碩士論文(2011)。

[15] N. Moroney, M. D. Fairchild, R. W.G. Hunt, C. Li, M. R. Luo, T. Newman, “The CIECAM02 Color Appearance Model,”10th Color and Image Conference, pp. 23-27 (2002).

[16] Luo, Ming Ronnier, and Changjun Li, “CIECAM02 and its recent developments,” Advanced Color Image Processing and Analysis, New York, pp.19-58 (2013).

[17] Jan Morovic, Color Gamut Mapping, John Wiley & Sons, (2008).

[18] Jan Morovic,“ To Develop a Universal Gamut Mapping Algorithm,” Derby Univ.
(United Kingdom), October (1998).

[19] Allan G.R., Wolfgang H., Rafal M., “Video viewing preferences for HDR displays under varying ambient illumination,” pp.45-52 (2009).

[20] Iwasaki, Tsuneto.,“ The significance of changes in CFF values during the performance on a VDT-based visual task,” Megaw, Towards human work: Solutions to problems in occupational health and safety, pp. 352-357 (1991).

[21] Lee, Myong-Young, et al, “Illumination-level adaptive color reproduction method with lightness adaptation and flare compensation for mobile display,” Journal of Imaging Science and Technology, 51(1), pp. 44-52 (2007).

[22] M.Melo, M. Bessa, K Debattista and A. Chalmers, “Evaluation of Tone-Mapping Operators for HDR Video Under Different Ambient Luminance Levels,” Computer Graphics Forum, vol. 34, pp. 38- 49 (2015).

[23] Weige Lu, Haisong Xu, M. Ronnier Luo, “Evaluation of contrast metrics for liquid‐crystal displays under different viewing conditions,” Journal of the Society for Information Display, Volume 20, Issue 5, (2012/6/29).

[24] 黃靖旂， 「平面顯示器環境光補償系統之研究」，國立台灣科技大學碩士論文 (2009)。

[25] Hung-Shing Chen (SID Member), Chung-Cheng Huang, Ronnier Luo, “Visual comfort in 2D/3D modes of glasses-type stereoscopic displays,” Society for Information Display, (2013/01/31).

[26] 黃季雯，「RGB/RGBW OLED 顯示器在不同環境光下的階調特性和色域變 化」，國立台灣科技大學碩士論文(2013)。

[27] Phil Service, “Pointer’s Gamut, MacAdam Limits, and Wide-Gamut Displays,” Flagstaff, Arizona, (2016/5/23).

[28] Changjun Li, M. Ronnier Luo, M. R. Pointer, Phil Green, “Comparison of real color gamuts using a new reflectance database,” Color Research & Application, Volume 39, Issue 5, (2013/6/27).

[29] R.W.G. Hunt, “A model of color vision for predicting color appearance in various viewing conditions,” Color Res. Appl.12 (6), pp.297-314 (1987).

[30] R.W.G. Hunt and Ming Ronnier Luo, “A chromatic adaptation transform and color inconstancy index,” Color Res. Appl.23, pp.154-158 (1998).

[31] Ming Ronnier Luo and Changjun Li and B.Rigg,“ Simplification of the CMCCAT97,” IS&T/SID Eighth Color Imaging Conference, pp.56-60, (2000).

[32] M. Ronnier Luo, Guihua Cui, Changjun Li, “Uniform colour spaces based on CIECAM02 colour appearance model,” Color Research & Application Volume 31, Issue 4, (2006/7/05).

[33] Muhammad Safdar, Guihua Cui, Youn Jin Kim, and Ming Ronnier Luo, “Perceptually uniform color space for image signals including high dynamic range and wide gamut,” Optics Express Vol. 25, Issue 13, pp. 15131-15151 (2017).

[34] ICC profile Inspector, https://www.color.org/profileinspector.xalter/, (上網日 期:2019/1/10).

[35] X-rite Pantone website, https://xritephoto.com/ColorTRUE, (2018).

[36] EIZO, https://www.eizoglobal.com/ (上網日期:2019/1/10).

[37] BabelColor: color management and analysis
http://www.babelcolor.com/colorchecker.htm (上網日期:2019/1/11).

[38] Colorimetric values for ColorChecker Family of Targets http://xritephoto.com/ph_product_overview.aspx?ID=824&Action=Support&Su pportID=5159 (上網日期:2019/1/29).

[39] X-rite Pantone website, https://www.xrite.com/categories/formulation-and-quality-assurance-software/i1 profiler (上網日期:2019/3/1 ).