Total variation denoising and enhancement of color images based on the CB and HSV color models

被引:144
作者
Chan, TF [1 ]
Kang, SH
机构
[1] Univ Calif Los Angeles, Dept Math, Los Angeles, CA 90095 USA
[2] Univ Minnesota, Sch Math, Minneapolis, MN 55455 USA
基金
美国国家科学基金会;
关键词
D O I
10.1006/jvci.2001.0491
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Most denoising and enhancement methods for color images ha e been formulated on linear color models, namely, the channel-by-channel model and vectorial model, In this paper. we study the total variation (TV) restoration based on the two nonlinear (or nonflat) color models: the chromaticity-brightness model and hue-saturation-value model. These models are known to be closer to human perception. Recent works on the variational/PDE method for nonflat features by several authors enable us to denoise the chromaticity and hue components directly. We present both the mathematical theory and digital implementation for the TV method. Comparison to the traditional TV restorations based on linear color models is made through various experiments. (C) 2001 Elsevier Science.
引用
收藏
页码:422 / 435
页数:14
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