Discrete Total Variation: New Definition and Minimization

被引:95
|
作者
Condat, Laurent [1 ]
机构
[1] Univ Grenoble Alpes, CNRS, GIPSA Lab, F-38000 Grenoble, France
来源
SIAM JOURNAL ON IMAGING SCIENCES | 2017年 / 10卷 / 03期
关键词
total variation; variational image processing; coarea formula; finite-difference schemes; MONOTONE INCLUSIONS; IMAGE-RESTORATION; REGULARIZATION; PROJECTION;
D O I
10.1137/16M1075247
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a new definition for the gradient field of a discrete image defined on a twice finer grid. The differentiation process from an image to its gradient field is viewed as the inverse operation of linear integration, and the proposed mapping is nonlinear. Then, we define the total variation of an image as the Li norm of its gradient field amplitude. This new definition of the total variation yields sharp edges and has better isotropy than the classical definition.
引用
收藏
页码:1258 / 1290
页数:33
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