DocumentCode :
3456389
Title :
The Generalized MTV-L1 Models and Their Split Bregman Algorithms for Noise Removal of Color Images with Textures
Author :
Wang, Qi ; Pan, Zhen-Kuan ; Wei, Wei-Bo ; Zhang, Zhi-Mei ; Wang, Cui-Ping
Author_Institution :
Coll. of Inf. Eng., Qingdao Univ., Qingdao, China
fYear :
2010
fDate :
21-23 Oct. 2010
Firstpage :
1
Lastpage :
6
Abstract :
The classic TV(Total Variation)-L1 model for gray value image denoising is extended to a generalized TV-L1 model firstly, which is then extended to generalized MTV-L1 model for color image denoising based on MTV(Multichannel Total Variation) regularization. By introducing the concept of non-local MTV based on non-local means, the generalized non-local MTV-L1 model is designed for noise removal of color images with textures. The Split Bregman algorithms are designed for the above mentioned models proposed in this paper. Finally, some numerical examples are provided to validate the proposed models and algorithms.
Keywords :
image colour analysis; image denoising; image texture; MTV regularization; MTV-L1 model; color image denoising; generalized MTV-L1 model; gray value image denoising; image texture; images color noise removal; multichannel total variation; split Bregman algorithm; total variation; Algorithm design and analysis; Color; Computational modeling; Image denoising; Mathematical model; Noise; Numerical models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
Type :
conf
DOI :
10.1109/CCPR.2010.5659164
Filename :
5659164
Link To Document :
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