本論文設計三個實驗進行數位印刷色彩品質研究分析，分別為實驗一：「標準色票廣色域色彩複製」、實驗二：「金屬色噴墨印刷色彩特性分析」、實驗三：「印刷網點混色模式優化分析」。
實驗一：「標準色票廣色域色彩複製」設計分別以一種4色列印 (CMYK)及三種5色列印 (CMYKR, CMYKG, CMYKB)等共四種印刷模式，對PCCS標準色票進行複製輸出，計算四種印刷模式下複製色與標準色票色差及色域面積，比較4色與5色列印模式的色彩複製能力。實驗二：「金屬色噴墨印刷色彩特性分析」設計145種金屬色印墨組合，以堆疊列印 (layered print)與混合列印 (blend print) 兩種金屬印刷模式輸出，使用多角度分光法量測分析金屬色印墨組合的隨角度色彩變化特性，並比較兩種金屬印刷模式對色彩特性的影響。實驗三：「印刷網點混色模式優化分析」設計對四種印刷網點混色模式進行色彩預測實作，包含諾克伯光譜模型 (spectral Neugebauer model, 簡稱SN模型)、修正諾克伯光譜模型 (modified spectral Neugebauer model, 簡稱m-SN模型)、修正諾克伯網點面積率模型 (modified dot coverage Neugebauer model, 簡稱m-DN模型) 、修正諾克伯網點面積率與光譜模型 (modified dot coverage and spectral Neugebauer model, 簡稱m-DSN模型)，計算預測色與測量印刷色色差，分析四種印刷網點混色模式的色彩預測能力。
實驗結果顯示，實驗一：「標準色票廣色域色彩複製」在5色列印CMYKR模式下，有最小複製色差以及最大色域範圍表現。實驗二：「金屬色噴墨印刷色彩特性分析」在堆疊列印模式下，輸出色彩隨角度色彩變化特性較為顯著，雖然金屬印墨比例增加將使印刷色的明度下降、彩度下降及色域減小，但隨角度色彩變化特性將增加，在不同角度下觀察可獲得多變的色彩表現。實驗三：「印刷網點混色模式優化分析」以修正網點面積率與光譜模型（m-DSN模型）的色彩預測能力最佳。

This study is based on three experiments to analyze the color quality of digital printing, respectively Experiment 1: "Color quality of wide-color-gamut color reproduction," Experiment 2: "Color Characteristic analysis of metallic inkjet printing, " Experiment 3: "Optimization analysis of color halftone printing model."
In Experiment 1, test samples of PCCS colors were reproduced by using four-color (CMYK) and five-color (CMYK adding red, green and blue respectively) printings. Color qualities of PCCS reproduced samples are evaluated in term of the color gamut and the color difference. In Experiment 2, metallic colors are applied to print 145 samples mixing with CMYK inks and metallic silver ink. Two printing modes for printing metallic effects of the study include blend print and layered print. To investigate the appearances of metallic colors and to compare the effects of two printing modes, these angle-dependent color samples are measured by multi-angle spectrophotometer under different illuminating and measurement geometries. In Experiment 3, four color halftone printing models were tested to predict color printing, including spectral Neugebauer model (SN model), modified spectral Neugebauer model (m-SN model), modified dot coverage Neugebauer model (m-DN model), and modified dot coverage and spectral Neugebauer model (m-DSN model). Color difference between predicted and measured data was calculated to assess predictive ability.
In Experiment 1, the five-color CMYKR (cyan-magenta-yellow-black-red) printing gives the lowest color difference and largest color gamut performance. In Experiment 2, the color changes under the layered mode are more significant than that under the blend mode by various measuring angles. With the metallic ink proportion increases, lightness and chroma of printed colors decrease, and the color changes become larger as measuring angles become larger. In Experiment 3, the m-DSN model gives the significantly smaller color difference between the predicted and the measured data.

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