Color Constancy With Complementary Color Wavelets

被引：0

作者：

Chen Y. ^{[1
]}

Li D. ^{[1
]}

Zhang J.-Q. ^{[1
]}

机构：

[1] Department of Electronic Engineering and the Research Center of Smart Networks and Systems, School of Information Science and Technology, Fudan University, Shanghai

来源：

Li, Dan (lidan@fudan.edu.cn) | 1600年 / Science Press卷 / 46期

基金：

中国国家自然科学基金;

关键词：

Color constancy; Color image; Complementary color wavelets; White balance;

D O I：

10.16383/j.aas.c180037

中图分类号：

学科分类号：

摘要：

By means of the recent reported complementary color wavelet transform (CCWT), a novel color constancy statistical method is proposed in this paper. Analyses show that the CCWT subband coefficients of the standard light images can be well described by a multivariate Laplace distribution. Learning the distribution parameters from the white light images helps to established the standard multivariate Laplace distribution. Such standard distribution provides the criterion for light compensation, by which the bias light images can be translated to the standard light images. The maximum likelihood estimation results of the compensation light show that: our method is as good as the best performances of listed literatures, reducing the median error 0.1°, and the mean and maximum errors 0.3°. Copyright © 2020 Acta Automatica Sinica. All rights reserved.

引用

页码：1378 / 1389

页数：11

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