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《北京理工大学学报(英文版)》 2003-S1
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Artificial Neural Network Performing the Forward Operation of Color Appearance Model

CHAI Bing-hua LIAO Ning-fang YANG Wei-ping (National Lab of Color Science and Engineering, School of InfiHmation Science and Technology, Beijing Institute of Technology, Beijing 100081, China)  
A method of the forward operation of color appearance (from colorimetric attributes to color appearance attributes) using an artificial neural network (ANN) is presented The neural network model developed is a multilayer feedforward neural network model for predicting color appearance model (CAM). This method greatly decreased the mathematical computation in color appearance prediction. The error backed-propagation (BP) algorithm was applied in the training of the neural networks, and it was trained and tested by the LUTCHI color appearance datasets which are the most comprehensive one in testing color appearance model. CRT was selected as a typical example in experiment because it is usually used as self-luminous object in fact, and several ways for choosing training samples were included and compared each other. The testing results show that the color appearance prediction using artificial neural network is well consistent with visual evaluation.
【Fund】: the National Natural Science Foundation(60278022)
【CateGory Index】: TP183
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