研究生: |
洪郁凱 Yu-Kai Hong |
---|---|
論文名稱: |
平板顯使裝置使用於軟式打樣之可行性 Feasibility of Using Tablet Display Device for Soft Proofing |
指導教授: |
陳鴻興
Hung-Shing Chen |
口試委員: |
羅梅君
孫沛立 胡國瑞 |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 光電工程研究所 Graduate Institute of Electro-Optical Engineering |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 中文 |
論文頁數: | 92 |
中文關鍵詞: | 渲染意圖 、色彩管理 、彩色打樣 、平板電腦顯示器 |
外文關鍵詞: | Rendering intent, Color management, Soft proof, Tablet display |
相關次數: | 點閱:165 下載:0 |
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由於成像科技的進步,各種影像媒體都可以藉由電腦傳遞影像資訊,但在不同媒體之間的色彩複製卻受到設備性能的限制與觀測環境差異的影響。為了獲得準確的跨媒體色彩複製,本論文對色彩管理所規範的印表機渲染意圖(知覺性意圖、飽和度性意圖、相對性色度性意圖、絕對性色度性意圖)進行研究,並接著進行典藏繪畫作品彩色打樣之視覺評價實驗,研究分為以下3個實驗進行。實驗一為「平板顯示打樣模擬」,目的在利用平板電腦顯示器上的色彩管理App模擬印表機渲染意圖,製作實驗用印表機色彩描述檔,並將其匯入平板電腦內色彩管理App內,可選擇變更螢幕色彩描述檔、選擇印表機色彩描述檔及變更渲染意圖、白點設定以及環境光調整,同時以平板電腦顯示器產生在不同渲染意圖條件下,使用分光光度計量測測試色塊,顯示其色度分布、計算基本色域面積與色域體積,來並比較4種渲染意圖之差異。實驗二為「印表機渲染意圖分析」,目的在使用Matlab軟體分析印表機色彩描述檔中4種渲染意圖的色彩表現,將印表機色彩描述檔匯入Matlab軟體內,分別產生在不同渲染意圖條件下色域面積與色域體積,藉此比較4種渲染意圖之差異。實驗三為「繪畫打樣相似度評價」,目的在透過比較同一個典藏文物影像(「朝涼」,林之助)在彩色打樣及軟式打樣上顯示不同渲染意圖的結果,探討彩色打樣及平板電腦顯示器上的影像,在何種渲染意圖下具有最佳相似度,評價結果顯示在絕對色度性渲染意圖的相似度較好。綜合以上實驗結果,可以評估出將影像從螢幕輸出到紙張上最佳的渲染意圖,並提供一個適合的渲染意圖建議,來降低不同設備輸出時產生的色差。
Because the advancement of color imaging technologies, many kinds of media can be transferred and recorded by digital information through computers directly. However, cross-media color reproduction is easily influenced due to the limit of device performances and observation environments. In order to obtain accurate cross-media color reproduction, this study is to explore the performances of rendering intents set in a digital printer’s color profile as defined by ICC (International Color Consortium). i.e., perceptual intent, saturation intent, relative colorimetric intent and absolute colorimetric intent. In additions, a psychophysical experiment is designed to evaluate color proofing qualities of achieved painting.
The research was divided into three experiments: Experiment 1 named “soft proofing using a tablet display”. The purpose was used the color management App set in the tablet display to simulate different printer rendering intents. A spectroradiometer was used to measure a series of test patches shown on the Tablet display to produce the measured data. Then the gamut area and gamut volume plotted in CIE L*a*b* color space with different printer rendering intents were analyzed. Experiment 2 named “analyze printer’s rendering intents”. The purpose was used Matlab software to analyze the color performance of different rendering intents. We analyzed the printer color profiles used Matlab and simulated their individual gamut areas and gamut volumes in CIE L*a*b* color space in terms of different rendering intents. Moreover, Experiment 3 named “assessment of color proofing for a achieved painting”. The purpose was compared the similarity results between color proofs with different rendering intents and soft proof (reference). The result showed that the absolute intent had the best similarity. Based on these three experiments results, we provided a better solution to set the content of rendering intents applying in color proofing system when used the tablet display.
[1] 林之助,國美典藏「朝涼」,國立臺灣美術館,https://ntmofa-collections.ntmofa.gov.tw/zh/artwork/08700378.
[2] M. Fairchild, Human Visual System-Color Visual Processing, Encyclopedia of Imaging Science and Technology, John Wiley & Sons, 2002.
[3] Noboru Ohta, Alan R. Robertson, Colorimetry: fundamentals and applications, John Wiley & Sons, 2006.
[4] R. S. Berns, Billmeyer and Saltzman's Principles of Color Technology, 3rd Edition, 2000.
[5] 陳鴻興、蕭琇霙,圖解現代色彩學,五南出版社,2018。
[6] 黃日鋒、詹文鑫、陳鴻興、胡國瑞、徐道義、孫沛立、羅梅君,顯示色彩工程學,新北市:全華圖書,2011。
[7] 國家度量衡標準實驗室,「度量衡的專題新知」, https://www.nml.org.tw/measurement/new-knowledge/3603-%E5%85%89%E5%BC%B7%E5%BA%A6%E7%9A%84%E5%96%AE%E4%BD%8D%EF%BC%9A%E7%87%AD%E5%85%89.html.
[8] EIZO,「針對色彩管理系統選擇正確的螢幕」, https://www.eizo.com.tw/products/coloredge/CMS/02.html.
[9] ISO, “ISO 12646:2015,” 2015. https://www.iso.org/standard/57311.html.
[10] ISO, ISO 12646-2004(Graphic technology — Displays for colour proofing — Characteristics and viewing conditions).
[11] 江瑞璋,「遠距和軟式打樣」, https://www.cepp.gov.tw/TheFiles/publication/399d37ae-6bb9-40e2-b88c-6562bed671cf.pdf.
[12] Noboru Ohta & Alan R. Robertson, Colorimetry:fundamentals and applications, John Wiley & Sons, 2005.
[13] 大田 登 原著,陳鴻興、陳詩涵 編譯,色彩工程學理論與應用,全華圖書,2008。
[14] Guihua Cui, M. Ronnier Luo, B Rigg, Wei Li, Colour‐difference evaluation using CRT colours. Part I: Data gathering and testing colour difference formulae, 2000.
[15] ICDM, Information display measurements standards, ver 1.03, Society od Information Display(SID), 2012.
[16] 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,五南圖書,2018。
[17] Google,「Google Camera 將支援 DCI-P3 廣色域拍攝」,https://m.eprice.com.tw/mobile/talk/4541/5358929/1/.
[18] Fairchild, M.D., “Color Appearamce Models,” Rochester Institute of Technology, USA, 2005.
[19] “Gamutvision Tour website,” http://www.gamutvision.com/.
[20] M. R. L. &. C.-J. Li, “CIECAM02 and Its Recent Developments,” 2013.
[21] BenQ,「色彩管理知識入門-2:如何重現一致的顏色」,https://www.benq.com/zh-tw/knowledge-center/technology/how-to-do-monitor-color-management.html.
[22] ICC, “Common Color Management Workflows & Rendering Intent Usage,” White Paper #9, 3 2005.
[23] Marijana Novakovic, Lidija Mandic , Kresimir Delac, “Rendering Intent and Color Reproduction,” 51st International Symposium ELMAR-2009,, 28-30 September 2009.
[24] A. Sharma, Understanding Color Management, Wiley, 2004.
[25] Mao-hai LinIN , Shi-sheng ZhouHOU, “Influence of Rendering Intents on the Gamut Volume and the Visual Evaluations in Digital Proofing,” International Conference on Computer Technology and Development, 2009.
[26] J. Morovic, Color Gamut Mapping, John Wiley & Sons, 2008.
[27] J. Morovic, To Develop a Universal Gamut Mapping Algorithm, John Wiley & Sons, 1998.
[28] T. Ricchard, Interpretation of the Correlation Coefficient: A Basic Review, 1990.
[29] 蔡旻諺、陳鴻興,「光源演色指數評價設計之研究」,國立臺灣科技大學光電工程所碩士論文,2015。
[30] ICC, “ICC profile Inspector,”https://www.color.org/profileinspector.xalter/.