A Doubly Degenerate Diffusion Model Based on the Gray Level Indicator for Multiplicative Noise Removal

2015 ◽  
Vol 24 (1) ◽  
pp. 249-260 ◽  
Author(s):  
Zhenyu Zhou ◽  
Zhichang Guo ◽  
Gang Dong ◽  
Jiebao Sun ◽  
Dazhi Zhang ◽  
...  
Keyword(s):  
Diffusion Model ◽  
Multiplicative Noise ◽  
Noise Removal ◽  
Degenerate Diffusion ◽  
Gray Level ◽  
Level Indicator ◽  
Model Based ◽  
Multiplicative Noise Removal

scholarly journals A Convex Adaptive Total Variation Model Based on the Gray Level Indicator for Multiplicative Noise Removal

2013 ◽  
Vol 2013 ◽  
pp. 1-21 ◽  
Author(s):  
Gang Dong ◽  
Zhichang Guo ◽  
Boying Wu
Keyword(s):  
Total Variation ◽  
Multiplicative Noise ◽  
Noise Removal ◽  
Time Behavior ◽  
Gray Level ◽  
Level Indicator ◽  
Total Variation Model ◽  
Long Time ◽  
Multiplicative Noise Removal ◽  
Adaptive Total Variation

This paper focuses on the problem of multiplicative noise removal. Using a gray level indicator, we derive a new functional which consists of the adaptive total variation term and the global convex fidelity term. We prove the existence, uniqueness, and comparison principle of the minimizer for the variational problem. The existence, uniqueness, and long-time behavior of the associated evolution equation are established. Finally, experimental results illustrate the effectiveness of the model in multiplicative noise reduction. Different from the other methods, the parameters in the proposed algorithms are found dynamically.

scholarly journals Sparse analysis model based multiplicative noise removal with enhanced regularization

2017 ◽  
Vol 137 ◽  
pp. 160-176 ◽  
Author(s):  
Jing Dong ◽  
Zifa Han ◽  
Yuxin Zhao ◽  
Wenwu Wang ◽  
Ales Prochazka ◽  
...  
Keyword(s):  
Multiplicative Noise ◽  
Noise Removal ◽  
Analysis Model ◽  
Model Based ◽  
Multiplicative Noise Removal

Iteratively Reweighted Anisotropic-TV Based Multiplicative Noise Removal Model

2012 ◽  
Vol 38 (3) ◽  
pp. 444-451 ◽  
Author(s):  
Xu-Dong WANG ◽  
Xiang-Chu FENG ◽  
Lei-Gang HUO
Keyword(s):  
Multiplicative Noise ◽  
Noise Removal ◽  
Multiplicative Noise Removal ◽  
Removal Model

scholarly journals A hybrid regularizers model for multiplicative noise removal

2021 ◽  
pp. 40-50
Author(s):  
Thi Thu Thao Tran ◽  
Cong Thang Pham ◽  
Duc Hong Vo ◽  
Duc Hoang Vo
Keyword(s):  
Variational Method ◽  
Minimization Problem ◽  
Existence And Uniqueness ◽  
Multiplicative Noise ◽  
State Of The Art ◽  
Noise Removal ◽  
Alternating Minimization ◽  
Minimization Method ◽  
Multiplicative Noise Removal ◽  
Alternating Minimization Method

In this paper, we propose a variational method for restoring images corrupted by multiplicative noise. Computationally, we employ the alternating minimization method to solve our minimization problem. We also study the existence and uniqueness of the proposed problem. Finally, experimental results are provided to demonstrate the superiority of our proposed hybrid model and algorithm for image denoising in comparison with state-of-the-art methods.

Sign in / Sign up

Export Citation Format

Share Document