改进最大模糊熵估计的色彩校正

Color calibration via improved maximum fuzzy entropy estimation

为保持色彩一致性,从统计学和模糊逻辑的角度提出了一个改进的最大模糊熵估计算法来进行色彩校正.该算法将校正颜色点的邻域视为一模糊集,结合设备色域的物理特征提出算法的约束条件,通过最大化模糊熵方法来进行最终校正.实验表明该算法提出的模糊熵较概率熵优越,且算法在精度和鲁棒性上优于四面体插值算法和基于最大概率熵估计的线性插值算法.

To retain the color consistence among different imaging devices,an improved maximum entropy estimation algorithm based on fuzzy entropy is proposed from perspectives of statistics and fuzzy logic.The proposed algorithm regards the neighborhood of the calibration color point as a fuzzy set and calibrates the devices by maximizing the fuzzy entropy with the corresponding constraints based on the physical features of color gamut.Experimental results indicate that the proposed fuzzy entropy is superior to the p...