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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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Document Type: Research Article

Publication date: 2011-10-01

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  • The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
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