A region fusion based split Bregman method for TV Denoising algorithm

Author(s):  
Minghua Zhao ◽  
Qin Wang ◽  
Jiawei Ning ◽  
Abdul Nasir Muniru ◽  
Zhenghao Shi
2019 ◽  
Vol 57 ◽  
pp. 50-67 ◽  
Author(s):  
Yunyun Yang ◽  
Dongcai Tian ◽  
Wenjing Jia ◽  
Xiu Shu ◽  
Boying Wu

2011 ◽  
Vol 1 (3) ◽  
pp. 264-283 ◽  
Author(s):  
Zhi-Feng Pang ◽  
Li-Lian Wang ◽  
Yu-Fei Yang

AbstractIn this paper, we propose a new projection method for solving a general minimization problems with twoL1-regularization terms for image denoising. It is related to the split Bregman method, but it avoids solving PDEs in the iteration. We employ the fast iterative shrinkage-thresholding algorithm (FISTA) to speed up the proposed method to a convergence rateO(k−2). We also show the convergence of the algorithms. Finally, we apply the methods to the anisotropic Lysaker, Lundervold and Tai (LLT) model and demonstrate their efficiency.


2016 ◽  
Vol 18 (6) ◽  
pp. 830-837 ◽  
Author(s):  
Yifang Hu ◽  
Jie Liu ◽  
Chengcai Leng ◽  
Yu An ◽  
Shuang Zhang ◽  
...  

2010 ◽  
Vol 47 (8) ◽  
pp. 081002
Author(s):  
谢爱敏 Xie Aimin ◽  
周光华 Zhou Guanghua ◽  
冯象初 Feng Xiangchu

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