262 citations · 888 across the 45 of their papers we have counts for
4 papers · 1 filter
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications
Stanley H. Chan, Xiran Wang, Omar A. Elgendy
Alternating direction method of multiplier (ADMM) is a widely used algorithm for solving constrained optimization problems in image restoration. Among many useful features, one cri…
Algorithm-Induced Prior for Image Restoration
Stanley H. Chan
This paper studies a type of image priors that are constructed implicitly through the alternating direction method of multiplier (ADMM) algorithm, called the algorithm-induced prio…
Adaptive Image Denoising by Mixture Adaptation
Enming Luo, Stanley H. Chan, Truong Q. Nguyen
We propose an adaptive learning procedure to learn patch-based image priors for image denoising. The new algorithm, called the Expectation-Maximization (EM) adaptation, takes a gen…
Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective
Stanley H. Chan, Todd Zickler, Yue M. Lu
Many patch-based image denoising algorithms can be formulated as applying a smoothing filter to the noisy image. Expressed as matrices, the smoothing filters must be row normalized…