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Total variation and high-order total variation adaptive model for restoring blurred images with Cauchy noise.
- Source :
-
Computers & Mathematics with Applications . Mar2019, Vol. 77 Issue 5, p1255-1272. 18p. - Publication Year :
- 2019
-
Abstract
- Abstract In this paper, we propose a novel model to restore an image corrupted by blur and Cauchy noise. The model is composed of a data fidelity term and two regularization terms including total variation and high-order total variation. Total variation provides well-preserved edge features, but suffers from staircase effects in smooth regions, whereas high-order total variation can alleviate staircase effects. Moreover, we introduce a strategy for adaptively selecting regularization parameters. We develop an efficient alternating minimization algorithm for solving the proposed model. Numerical examples suggest that the proposed method has the advantages of better preserving edges and reducing staircase effects. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08981221
- Volume :
- 77
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Computers & Mathematics with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 134637101
- Full Text :
- https://doi.org/10.1016/j.camwa.2018.11.003