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
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