An Adaptive Non-local Total Variation Blind Deconvolution Employing Split Bregman Iteration

2012 ◽  
Author(s):  
Huijie Gao ◽  
Zhiyong Zuo
Keyword(s):  
Total Variation ◽  
Blind Deconvolution ◽  
Bregman Iteration ◽  
Split Bregman ◽  
Split Bregman Iteration ◽  
Non Local

Removal of Glass Reflection Using TV-Retinex Model

2014 ◽  
Vol 511-512 ◽  
pp. 475-480
Author(s):  
Ke Fei Cheng ◽  
Dan Ni Li
Keyword(s):  
Total Variation ◽  
Computational Approach ◽  
Total Variation Regularization ◽  
Bregman Iteration ◽  
Split Bregman ◽  
Split Bregman Iteration

The Retinex model is mainly used to removal of unfavorable illumination effects from images. In this paper, the Retinex model combined with the total variation regularization (TV-Retinex) is presented to removal of glass reflection that can be solved by a fast computational approach based on the split Bregman iteration. Experiments demonstrated that the proposed method can effectively reduce this kind of artifact as well as preserve the edge and detailed information.

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