A Non-Local Diffusion Equation for Noise Removal

被引:0
|
作者
Shao, Jingfeng [1 ]
Guo, Zhichang [1 ]
Yao, Wenjuan [1 ]
Yan, Dong [2 ]
Wu, Boying [1 ]
机构
[1] Harbin Inst Technol, Sch Math, Harbin 15000, Peoples R China
[2] Univ Calif Irvine, Sch Math, Irvine, CA 92697 USA
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
image denoising; non-local diffusion; BV solutions; Perona-Malik method; EDGE-DETECTION; IMAGE; SPACE;
D O I
10.1007/s10473-022-0505-1
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, we propose a new non-local diffusion equation for noise removal, which is derived from the classical Perona-Malik equation (PM equation) and the regularized PM equation. Using the convolution of the image gradient and the gradient, we propose a new diffusion coefficient. Due to the use of the convolution, the diffusion coefficient is non-local. However, the solution of the new diffusion equation may be discontinuous and belong to the bounded variation space (BV space). By virtue of Young measure method, the existence of a BV solution to the new non-local diffusion equation is established. Experimental results illustrate that the new method has some non-local performance and performs better than the original PM and other methods.
引用
收藏
页码:1779 / 1808
页数:30
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