由於彩色電子出版的興起，高品質的彩色輸出／輸入設備，如彩色印表機、彩色監視
器和掃描機，現在已普及的使用在辦公室的環境及印刷廠。有愈來愈多人使用彩色影像的
應用及創作，而電子影像的中心是電腦，現今幾乎所有的電腦都使用彩色螢幕，事實上，
由彩色螢幕所顯示出來的影像，往往與原稿不相像，這個問題，期待我們去解答。
電腦的使用者盼望在不同的電腦控制裝置（如掃描機、數位相機、彩色監視器及印表
機）間，得到準確的顏色溝通，各國國內及國際的標準委員會包括許多的影像裝置製造商
，軟體工程師及色彩科學家被組成為了實現WYIWYG(What You see Is What You Get)，這
個動作需要從從屬裝置的色彩座標空間，譬如彩色監視器映像上的Digit To Analog
converter(Dac)的紅色(R)、綠色(G)、藍色(B)的點數值轉換到CIE不受裝置影響的色度三
刺激值XYZ(CIE 1986)，換言之，這個程序就是大家所熟知的裝置色彩特性演繹模式化。
本研究的目的，就是在一般正常的觀測環境及條件之下導出有效彩色監視器色彩特性
的演繹模式，在本研究中，總共設計了三種模式：分區線性插補法(PLCC)、最小平方法(S
VD)及疊代逼近法(Iteration)，同時，採用心理物理學(Psychophysics)的實驗，在D50的
光源下，採用雙眼同時觀測視覺評比技術(Simultaneous-Binocular viewing Technique)
，做彩色監視器不同模式的影像評比，最後結果，疊代避近法20×3的係數模式的預測能
力最佳，也是一個有效的模式。

With the development of color output/input devices (such as color printers, color monitors and scaners), color documentation and reproductions are going ground in the office environment and print shop. More and more people are becoming involved in the creation and rendition of color images. The heart of electronic imaging is the microcomputer. However today, almost all computers use color monitors. In practice the appearance of an image on monitor doesn't often match that of hardcopy with the same content.
Accurate color communication across different computer-controlled devices (such as scanners, digital cameras, displays, and printers) is desirable to computer users. Various national and international standard committees including members of imaging devices manufacturers, software engineers and color scientists were formed to achieve WYSIWYG (What You See Is What You Get) color. This requires to transform the device dependent coordinate (such as the digital to analog converter (DAC) counts of red, green, and blue channels for the video display) in terms of CIE colorimetric values (Device independent specification)(CIE 1986), or vice versa. This procedure is known as device characterization.
The intent of my research was to derive reliable mathematical models for characterizing CRT monitors under an average surrounding/viewing condition. Three models were derived, including PLCC (Piecewise Linear assuming Constant Chromaticity), SVD (Singular Value Decomposition) 9×3 and Iteration (Iteration Approach Method) 20×30. A psychophysical experiment was also conducted to compare original images viewed in a viewing cabinet and processed softcopy images presented on the monitor characterized under a D50 illuminant. The paired comparison method was employed. The results indicated that Iteration 2×3 gave the most precise predictability.