Research on the Color Reproduction Based on the BP Neural Network Algorithm

Xiaozhao Xu, Xinfeng Zhang, Yi'na Cai, Lan-sun Shen, Chang-Jiang Liu
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Abstract

This paper proposes an algorithm of BP neural network, which reproduces a color image under D65 light conditions by using a pair of images (one with no D65 light source, and the other with D65 light source). The result of reproduction image which used a fluorescent lamp as an unknown light source is presented. This algorithm successfully removes the effect of the unknown light source color and achieves color constancy at a practical computational cost. The experiment results show that the validity of the proposed algorithm.
基于BP神经网络算法的色彩再现研究
本文提出了一种BP神经网络算法,利用一对图像(一幅无D65光源,另一幅有D65光源)再现D65光条件下的彩色图像。给出了用荧光灯作为未知光源再现图像的结果。该算法成功地消除了未知光源颜色的影响,在实际的计算成本下实现了颜色的恒定。实验结果表明了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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