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A New Color Correction Algorithm for Scanner Color Sensor

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Color correction for color sensor of scanner is one of the key techniques in color image reproduction in information optics and computer multimedia processing. A New color correction model for is presented based on analyzing color rendering principle of color scanner. First, color errors resources are analyzed from the corner of light transmission efficiency of scanner and optical effects of scanning objects; Second, the paper takes standard color target for experimental sample and substitutes color blocks in color shade district for complete color space, which solves the difficulties of selecting experimental color target. Third, data collecting method is introduced and some data bases for deducing the model are created. Then, the color management model based on neural network with Fourier basis functions is deduced and analyzed and some methods are adopted to speed up model convergence and to simplify model structure. Finally the experimental results show that the model can improve scanner color management accuracy and can be used in its color management practically.
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Keywords: COLOR MANAGEMENT; FOURIER BASIS FUNCTIONS; NEURAL NETWORK

Document Type: Research Article

Publication date: 2011-10-01

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