873 citations · 5.4k across the 120 of their papers we have counts for
4 papers · 1 filter
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Ernest K. Ryu, Jialin Liu, Sicheng Wang +3
Plug-and-play (PnP) is a non-convex framework that integrates modern denoising priors, such as BM3D or deep learning-based denoisers, into ADMM or other proximal algorithms. An adv…
Denoising Prior Driven Deep Neural Network for Image Restoration
Weisheng Dong, Peiyao Wang, Wotao Yin +3
Deep neural networks (DNNs) have shown very promising results for various image restoration (IR) tasks. However, the design of network architectures remains a major challenging for…
A fast patch-dictionary method for whole image recovery
Yangyang Xu, Wotao Yin
Various algorithms have been proposed for dictionary learning. Among those for image processing, many use image patches to form dictionaries. This paper focuses on whole-image reco…
A Matlab Implementation of a Flat Norm Motivated Polygonal Edge Matching Method using a Decomposition of Boundary into Four 1-Dimensional Currents
Simon P. Morgan, Wotao Yin, Kevin R. Vixie
We describe and provide code and examples for a polygonal edge matching method.