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Approximating the CIECAM02 color appearance model by means of neural networks
An artificial neural network used to realize the approximating problem of the color appearance model (CAM) CIECAM02 in color management is demonstrated. GretagMacbeth ColorChecker Charts, which now are widely used in calibration of digital camera, are chosen as sanples to implement the forward and reverse color appearance models. When the predictive results are evaluated, for forward model, the output color appearance space is converted to the uniform color space based on CAM and is evaluated, while for reverse model, because the prediction precision is insufficient, we try to convert the color appearance space, which is the cylinder space, to the cube space similar to the red, green, and blue (RGB) space, and the results show that the precision is obviously improved.
作 者： 柴冰華 廖寧放 趙達(dá)尊 作者單位： National Lab of Color Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing,100081 刊 名： 中國(guó)光學(xué)快報(bào)（英文版） ISTIC EI 英文刊名： CHINESE OPTICS LASERS 年，卷(期)： 2004 2(11) 分類號(hào)： 關(guān)鍵詞：【Approximating the CIECAM02 color app】相關(guān)文章：
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