Dissimilar pixel counting based impulse detector for two-phase mixed noise removal

2017 ◽  
Vol 77 (6) ◽  
pp. 6933-6953 ◽  
Author(s):  
Zaifeng Shi ◽  
Zehao Xu ◽  
Ke Pang ◽  
Qingjie Cao ◽  
Tao Luo
Keyword(s):  
Noise Removal ◽  
Two Phase ◽  
Mixed Noise ◽  
Mixed Noise Removal ◽  
Impulse Detector

Nonlocal low-rank regularized two-phase approach for mixed noise removal

2021 ◽  
Author(s):  
Chen Xu ◽  
Xiaoxia Liu ◽  
Jian Zheng ◽  
Lixin Shen ◽  
Qingtang Jiang ◽  
...  
Keyword(s):  
Noise Removal ◽  
Low Rank ◽  
Two Phase ◽  
Phase Approach ◽  
Mixed Noise ◽  
Mixed Noise Removal

Sparse nonlocal priors based two-phase approach for mixed noise removal

2015 ◽  
Vol 116 ◽  
pp. 101-111 ◽  
Author(s):  
Jielin Jiang ◽  
Jian Yang ◽  
Yan Cui ◽  
Wai Keung Wong ◽  
Zhihui Lai
Keyword(s):  
Noise Removal ◽  
Two Phase ◽  
Phase Approach ◽  
Mixed Noise ◽  
Mixed Noise Removal

scholarly journals Variable Splitting Based Method for Image Restoration with Impulse Plus Gaussian Noise

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Tingting Wu
Keyword(s):  
Image Processing ◽  
Image Denoising ◽  
Gaussian Noise ◽  
Fundamental Problem ◽  
Noise Removal ◽  
Phase Method ◽  
Two Phase ◽  
Variable Splitting ◽  
Mixed Noise ◽  
Mixed Noise Removal

Image denoising is a fundamental problem in realm of image processing. A large amount of literature is dedicated to restoring an image corrupted by a certain type of noise. However, little literature is concentrated on the scenario of mixed noise removal. In this paper, based on the model of two-phase method for image denoising proposed by Cai et al. (2008) and the idea of variable splitting, we are capable of decomposing the image denoising problem into subproblems with closed form. Numerical results illustrate the validity and robustness of the proposed algorithms, especially for restoring the images contaminated by impulse plus Gaussian noise.

Mixed Noise Removal via Laplacian Scale Mixture Modeling and Nonlocal Low-Rank Approximation

2017 ◽  
Vol 26 (7) ◽  
pp. 3171-3186 ◽  
Author(s):  
Tao Huang ◽  
Weisheng Dong ◽  
Xuemei Xie ◽  
Guangming Shi ◽  
Xiang Bai
Keyword(s):  
Noise Removal ◽  
Mixture Modeling ◽  
Low Rank ◽  
Scale Mixture ◽  
Low Rank Approximation ◽  
Mixed Noise ◽  
Rank Approximation ◽  
Mixed Noise Removal
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