本論文主要開發一個閃耀度測量系統，研究如何將彩色金屬板量化和影像化，希望透過閃耀度測量系統可以將閃耀感普及化和建立彩色金屬塗料樣板的CMF色彩、材質與表面處理資料庫。實驗一『開發閃耀度測量系統』主要目的是將彩色金屬塗料樣板的閃耀等級以影像量化，開發較簡易影像式機構來預測彩色金屬塗料樣板的閃耀等級，再與多角度分光光度儀測量的閃耀等級進行線性回歸，即可以製作出精確的閃耀模型。實驗二『模擬HDR金屬塗料影像』則是控制所開發之閃耀度測量系統，去拍攝不同曝光時間的複數影像，進而合成一張高動態範圍影像，透過心理物理實驗結果分析最適合合成張數之彩色金屬影像，即可模擬出人眼觀看不同閃耀等級的影像。由實驗結果得知，使用本論文提議的數學預測模式計算影像可以得出與分光光度儀測量出的閃耀等級相當接近的數值，而要製作彩色金屬塗料樣板的影像必須使用5張不同曝光值合成影像形成高動態範圍影像，可以得到較好的結果。

How to quantify material appearance is important as new materials and new finishing methods are available for CMF (Color, Material and Finish) designers. However, several ap-pearance attributes, such as sparkle and graininess, are not easy to be measured and quantified. In this study, we developed a sparkle measuring system of metallic paints to obtain their mul-ti-angle image appearances. In this way, the sparkle grade (15˚, 45˚, 75˚) were analyzed and the predicted results were matched to the sparkle grade (Sg) measured by a BYK’s multi-angle spectrophotometer. Furthermore, a professional-level digital camera was used to capture dif-ferent sparkle grades of metallic paints. Multiple metallic images in different exposure times were captured to form a High Dynamic Range (HDR) image with realistic sparkle effect. A visual assessment experiment based on pair comparison method was conducted to rank the metallic images composed of three/ five/ seven different exposure images. The evaluated result showed that five pieces of component images is the best choice to simulate the real sparkle of metallic paints.

[1] McCamy C. S., “Observation and measurement of the appearance of metallic materials. Part I. Macro appearance”, Color Research and Application, 21, pp. 292-304(1996).
[2] McCamy C. S., “Observation and measurement of the appearance of metallic materials. Part II. Micro appearance”, Color Research and Application, 23, pp. 362-373(1998).
[3] Eugene C., ‘’Measurement of total visual appearance: A CIE challenge of soft metrology”, 12th IMEKO TC1 & TC7 Joint Symposium on Man, Science & Measurement, pp. 61-65(2008).
[4] CIE, Commission Internationale de’Eclairage, http://www.cie.co.at/
[5] ASTM D523, “Standard Test Method for Specular Gloss”, 2018.
[6] 李駿平，「建立材料選擇工具之前導研究」，國立臺灣科技大學碩士論文，2014。
[7] Beck J. and Prazdny S., “Highlights and the perception of glossiness”. Attention, Percep-tion, & Psychophysics, 30, pp. 407-410(1981).
[8] Todd J. T., Norman J. F., and Mingolla E., “Lightness constancy in the presence of specu-lar highlights”, Psychological Science, 15, pp. 33-39(2004).
[9] Norman J. F, Todd J. T., and Orban G. A., “Perception of three-dimensional shape from specular highlights, deformations of shading, and other types of visual information”, Psycho-logical Science, 15, pp. 565-570(2004).
[10] Wendt G., Faul F. and Mausfeld R., “Highlight disparity contributes to the authenticity and strength of perceived glossiness”, Journal of Vision, 8(1):14, pp. 1-10(2008).
[11] Caniard F. and Fleming R., “Distortion in 3D shape estimation with changes in illumina-tion”, Proceedings of the 4th symposium on Applied perception in graphics and visualization, 253, pp. 99-105(2007).
[12] Todd J. T., Norman J. F., Koenderink J. J. and Kappers A. M. L., “Effects of texture, il-lumination, and surface reflectance on stereoscopic shape perception”, Perception, 26, pp. 807-822(1997).
[13] Fleming R. W., Torralba A. and Adelson E. H., “Specular reflections and the perception of shape”, Journal of vision, 4(9):10, pp. 798-820(2004).
[14] Sergey E., Konstantin K. and Karol M., “Rendering pearlescent appearance based on paint‐composition modelling”, Computer Graphics Forum, 20, pp. 3-6(2001).
[15] Li‐Chen Ou, M. Ronnier Luo, Andree Woodcock and Angle Wright, “A study of colour emotion and colour preference. Part I: Colour emotions for single colours”, Color Research and Application, 29, pp. 232-240(2004).
[16] Li‐Chen Ou, M. Ronnier Luo, Andree Woodcock and Angle Wright, “A study of colour emotion and colour preference. part II: colour emotions for two‐colour combinations”, Color Research and Application, 29, pp. 292-298(2004).
[17] Clarke T. and Costall A., “The emotional connotations of color: A qualitative investiga-tion”, Color Research and Application, Colour Society of Australia, 33, pp. 406-410(2008).
[18] Kitaguchi S., M. Ronnier Luo, Kirchner E.J.J. and Kieboom G.J., “Computational model for perceptual coarseness prediction”, Conference on Colour in Graphics, Imaging, and Socie-ty for Imaging Science and Technology, 2006.
[19] Kitaguchi S., Westland S., M. Ronnier Luo, Kirchner E.J.J. and Kieboom G.J., “Applica-tion of HDR imaging to modeling of glints in metallic coatings”, Proceedings of the Interim Meeting of the International Color Association, 2008.
[20] Medina J., Díaz J. and Vignolo C., “Fractal dimension of sparkles in automotive metallic coatings by multispectral imaging measurements”, ACS applied materials & interfaces, 6(14), pp. 11439-11447 (2014).
[21] Ferrero A., Campos J., Rabal A. and Pons A., “A single analytical model for sparkle and graininess patterns in texture of effect coatings”, Optics express, 21(22), pp. 26812-26819(2013).
[22] Gomez O., Perales E., Chorro E., Viqueira V., Martinez-Verdu F.M., “Visual and instru-mental correlation of sparkle by the magnitude estimation method”, Applied optics , 55(23), pp. 6458-6463(2016).
[23] Z. W. Wang and M. Ronnier Luo, “Looking into special surface effects: diffuse coarse-ness and glint impression”, Coloration Technology, 132(2), pp. 153-161 (2016).
[24] M.J. Huang, H. S. Chen, M. Ronnier Luo, P.L. Sun, “Assessing appearance and emotion-al attributes of coloured metallic paints”, Coloration Technology, 134(1), pp. 59-70(2018).
[25] ASTM E284, “Standard Terminology of Appearance”, 2018.
[26] 魏碩廷、陳鴻興、徐明景、李文淵、謝翠如、吳瑞卿和孫沛立 著，「色彩新論：從心理設計到科學應用」，中華色彩學會，五南圖書，2018。
[27] CIE 127:2007, “Measurement of LEDs”.
[28] CIE 15:2004, “Colorimetry”.
[29] ISO 13655:2009, “Graphic technology: Spectralmeasurement and colorimetric computa-tion for graphic arts images”, 2009.
[30] Perales E., Chorro E., Viqueira V., Martinez-Verdu F.M., “Reproducibility comparison among multiangle spectrophotometers”, Color Research and Application, 38(3), pp. 160-167(2013).
[31] 許家瑋，「使用量子點和RGBW 子畫素技術高畫質液晶顯示器之影像品質評價」，國立臺灣科技大學碩士論文，2015。
[32] TOPCON access on Dec. 3, 2018. Available: https://www.topcon-techno.co.jp/
[33] X-rite access on Dec. 3, 2018. Available: https://www.xrite.com/
[34] Measure What You See access on Jan. 17, 2019. Available: https://measurewhatyousee.com/2015/07/10/gloss-measurement-conversion-to-other angles/
[35] Chorro E., Perales E., Burgos F. J., Gómez O., Vilaseca M., Viqueira V., Pujol J. and Martínez‐Verdú, F. M., “The minimum number of measurements for colour, sparkle, and graininess characterisation in gonio‐apparent panels”, Coloration Technology, 131(4) , pp. 303-309 (2015).
[36] Debevec P.E. and Malik J., “Recovering high dynamic range radiance maps from photo-graphs”, ACM SIGGRAPH 2008 classes, ACM, p. 31 (2008).
[37] Morovic J., “Color gamut mapping: The Wiley-IS&T Series in Imaging Science and Technolog”, p. 64-70 (2008).
[38] Montag E.D., “Empirical formula for creating error bars for the method of paired compar-ison”, Journal of Electronic Imaging, 15(1), pp. 010502 (2006).
[39] 大田登 著，陳鴻興、陳詩涵 編譯，色彩工程學：理論與應用，全華圖書股份有限公司，台北，2008。
[40] 林新強，「博物館典藏繪畫之色彩品質評價」，國立臺灣科技大學碩士論文，2014。
[41] 詹凱琳，「三維掃描影像色彩修正技術」，國立臺灣科技大學碩士論文，2016。
[42] 劉宇倫，「基於稀疏SVBRDF之非金屬材質視覺外貌擷取研究」，國立臺灣科技大學博士論文，2018。