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
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;
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
DOI :
10.1109/CIS.2011.273
