摘要
提出一种自适应保真项用于总变差去噪方法.在讨论了局部结构描述子应满足2个必要条件的基础上,分析了线性结构张量在提取局部结构信息中的不足;将非线性结构张量用于构造自适应保真项,使得总变差去噪方法具有更好的去噪能力.实验结果表明:该方法能够很好地保持目标的边缘、尖角等几何结构.
A new adaptive fidelity term for total variation denoising method is presented. Two requirements of local structure descriptors are discussed first, and then the defects of the linear structure tensor in local structural information extraction are analyzed. To make the total variation denoising method more capable of denoising, an adaptive fidelity term is constructed by using nonlinear structure tensor. Experimental results show the superiority of the new method in preserving geometric structure, such as edges, corners and so forth.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2008年第4期506-511,共6页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(60773172)
香港特区政府研究资助局研究项目(CUHK/4185/00E)
关键词
图像去噪
自适应保真项
局部结构描述子
非线性结构张量
image denoising
adaptive fidelity term
local structure descriptor
nonlinear structure tensor