Research Article
Weighted Norm Sparse Error Constraint Based ADMM for Image Denoising
Algorithm 1
Image denoising by WPNSEC.
Require: Noisy image Y. | |
Ensure: Denoised image . | |
1: Initialization: , c, , ; | |
2: For t = 0, 1, , do | |
3: Set ; | |
4: Extract local image patches () from | |
the noise image ; | |
5: For each local image patch do | |
6: The nonlocal similar patches are searched | |
by Euclidean distance; | |
7: Stack similar patches form a noisy similar | |
patch group ; | |
8: Update by GST algorithm; | |
9: Update by surrogate algorithm; | |
10: Update by Eq. (9); | |
11: End for | |
12: Aggregate to form the clean image ; | |
13: End for | |
14: Return The denoised image ; |