彩色纹理图像分解的VO模型及其Split Bregman方法

VO model and its Split Bregman method for color texture image decomposition

彩色纹理图像分解的处理模型和方法是近年来纹理图像处理研究的热点。为实现彩色纹理图像的分解,在介绍TV(total variation)模型及其Split Bregman方法的基础上,通过辅助变量和Bregman迭代参数,将Split Bregman方法引入到VO(Vese-Osher)模型中,提高了计算速度。通过数值实验比较了VO模型与TV模型在彩色纹理图像分解中的效果,验证了基于Split Bregman方法的VO模型的有效性和效率。

The models and methods of color texture image decomposition are the research focus of texture image pro- cessing in recent years. In order to realize color texture image decomposition, based on the introduction of TV （ total variation） model and its Split Bregman method ,this paper applies Split Bregman method to VO （Vese-Osher） model through introducing auxiliary variables and Bregman iterative parameters, which increases the calculation speed. Some numerical examples of color texture image decomposition are used to compare the effects of VO model and TV model, which verifies the validity and efficiency of VO model based on Split Bregman method.