A unifying approach to isotropic and anisotropic total variation denoising models

被引:30
|
作者
Birkholz, Harald [1 ]
机构
[1] Univ Rostock, Inst Math, D-2500 Rostock 1, Germany
关键词
Total variation; Feature-preserving denoising; Nonlinear optimisation; ALGORITHM;
D O I
10.1016/j.cam.2010.11.003
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Total variation minimisation is a well-established method for digital image restoration. Its implicit preservation of edges permits the derivation of anisotropic models for a qualitative improvement at corners. This paper is a synopsis of anisotropic models with state-of-the-art insights into the numerics of isotropic models. We generalise two representative models from both branches of research. This formulation leads to a general convergent algorithm and a general highly efficient algorithm which apply for both cases. A transfer of the discretisation from the anisotropic model to the isotropic setting results in an improvement of rotational invariance. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:2502 / 2514
页数:13
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