DocumentCode
2990817
Title
The Iterative Regularization Method Based on Image Decomposition Model
Author
Min, Li ; Chen, Xu ; Xiaoli, Sun ; Weiqiang, Zhang
Author_Institution
Coll. of Math. & Comput. Sci., Shenzhen Univ., Shenzhen, China
fYear
2011
fDate
3-4 Dec. 2011
Firstpage
1234
Lastpage
1237
Abstract
Motivated by iterative regularization procedure based on total variation, we develop concretely a new iterative regularization procedure for Vese-Osher image decomposition model. The new algorithm improves significantly the quality of restoration when Vese-Osher standard model is used to real textured image denoising. The new algorithm is very simple, and we implement the method by the semi-implicit finite differences.
Keywords
image denoising; image texture; iterative methods; Vese-Osher image decomposition model; Vese-Osher standard model; iterative regularization method; iterative regularization procedure; textured image denoising; total variation; Computational modeling; Equations; Image restoration; Iterative methods; Mathematical model; Noise reduction; Numerical models; Begman distance; denoising; iterative regularization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location
Hainan
Print_ISBN
978-1-4577-2008-6
Type
conf
DOI
10.1109/CIS.2011.273
Filename
6128315
Link To Document