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Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications

5 May 2016

Papers citing "Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications"

50 / 145 papers shown

Title
Gradient Step Denoiser for convergent Plug-and-Play Samuel Hurault Arthur Leclaire Nicolas Papadakis 70 97 0 07 Oct 2021
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration Mikael Le Pendu C. Guillemot 72 17 0 01 Oct 2021
Wasserstein Patch Prior for Image Superresolution J. Hertrich Antoine Houdard C. Redenbach SupR MDE 105 22 0 27 Sep 2021
FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal Lina Zhuang Michael Kwok-Po Ng 87 94 0 18 Sep 2021
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging Zhuoyuan Wu Jian Zhang Chong Mou MedIm 82 60 0 14 Sep 2021
Instabilities in Plug-and-Play (PnP) algorithms from a learned denoiser Abinash Nayak 21 2 0 17 Aug 2021
An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications to Surface Smoothing and Imaging Hao Liu X. Tai R. Glowinski 79 14 0 04 Aug 2021
Blind Image Super-Resolution: A Survey and Beyond Anran Liu Yihao Liu Jinjin Gu Yu Qiao Chao Dong 98 167 0 07 Jul 2021
Graph Signal Restoration Using Nested Deep Algorithm Unrolling Masatoshi Nagahama Koki Yamada Yuichi Tanaka Stanley H. Chan Yonina C. Eldar 62 20 0 30 Jun 2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results Goutam Bhat Martin Danelljan Radu Timofte Kazutoshi Akita Wooyeong Cho ... Rao Muhammad Umer Youliang Yan Lei Yu Magauiya Zhussip X. Zou SupR 77 39 0 07 Jun 2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition Jiaming Liu M. Salman Asif B. Wohlberg Ulugbek S. Kamilov 117 43 0 07 Jun 2021
End-to-end reconstruction meets data-driven regularization for inverse problems Subhadip Mukherjee M. Carioni Ozan Oktem Carola-Bibiane Schönlieb 60 40 0 07 Jun 2021
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement Mehmet Akccakaya Burhaneddin Yaman Hyungjin Chung Jong Chul Ye MedIm 110 56 0 17 May 2021
Feasibility-based Fixed Point Networks Howard Heaton Samy Wu Fung A. Gibali W. Yin 57 26 0 29 Apr 2021
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms Pravin Nair Ruturaj G. Gavaskar K. Chaudhury 94 39 0 21 Apr 2021
Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts Bruno Lecouat Jean Ponce Julien Mairal SupR 53 38 0 13 Apr 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 264 237 0 23 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 96 112 0 08 Mar 2021
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior Mario González Andrés Almansa Pauline Tan 92 31 0 02 Mar 2021
Deep Equilibrium Architectures for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 103 183 0 16 Feb 2021
Plug-and-Play gradient-based denoisers applied to CT image enhancement Pasquale Cascarano E. L. Piccolomini E. Morotti Andrea Sebastiani 24 0 0 15 Feb 2021
Image Restoration by Deep Projected GSURE Shady Abu Hussein Tom Tirer S. Chun Yonina C. Eldar Raja Giryes SupR 69 13 0 04 Feb 2021
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees Jiaming Liu Yu Sun Weijie Gan Xiaojian Xu B. Wohlberg Ulugbek S. Kamilov FedML MedIm 89 31 0 22 Jan 2021
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging Xin Yuan Yang Liu J. Suo F. Durand Qionghai Dai 93 79 0 13 Jan 2021
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems Kaixuan Wei Angelica Aviles-Rivero Jingwei Liang Ying Fu Hua Huang Carola-Bibiane Schönlieb 74 35 0 18 Nov 2020
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms J. Hertrich Sebastian Neumayer Gabriele Steidl 77 60 0 04 Nov 2020
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors Yu Sun Jiaming Liu Yiran Sun B. Wohlberg Ulugbek S. Kamilov 78 15 0 03 Oct 2020
Image Reconstruction of Static and Dynamic Scenes through Anisoplanatic Turbulence Zhiyuan Mao Nicholas Chimitt Stanley H. Chan 87 50 0 31 Aug 2020
Plug-and-Play Image Restoration with Deep Denoiser Prior Peng Sun Yawei Li W. Zuo Lei Zhang Luc Van Gool Radu Timofte DiffM SupR 134 813 0 31 Aug 2020
Learned convex regularizers for inverse problems Subhadip Mukherjee Sören Dittmer Zakhar Shumaylov Sebastian Lunz Ozan Oktem Carola-Bibiane Schönlieb 86 80 0 06 Aug 2020
Wasserstein-based Projections with Applications to Inverse Problems Howard Heaton Samy Wu Fung A. Lin Stanley Osher W. Yin 73 3 0 05 Aug 2020
Fast Nonconvex $T_2^*$ Mapping Using ADMM Shuai Huang J. Lah Jason W. Allen Deqiang Qiu MedIm 10 0 0 04 Aug 2020
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser Zahra Kadkhodaie Eero P. Simoncelli 97 86 0 27 Jul 2020
SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy Emanuele Dalsasso Xiangli Yang L. Denis F. Tupin Wen Yang 80 55 0 28 Jun 2020
Scalable Plug-and-Play ADMM with Convergence Guarantees Yu Sun Zihui Wu Xiaojian Xu B. Wohlberg Ulugbek S. Kamilov BDL 98 76 0 05 Jun 2020
One Size Fits All: Can We Train One Denoiser for All Noise Levels? Abhiram Gnanasambandam Stanley H. Chan OOD 33 21 0 19 May 2020
Low-Dose CT Image Denoising Using Parallel-Clone Networks Siqi Li Guobao Wang OOD 34 9 0 14 May 2020
Determined BSS based on time-frequency masking and its application to harmonic vector analysis Kohei Yatabe Daichi Kitamura 104 26 0 29 Apr 2020
Plug-and-play ISTA converges with kernel denoisers Ruturaj G. Gavaskar K. Chaudhury 77 33 0 07 Apr 2020
A Machine Learning Based Framework for the Smart Healthcare Monitoring Abrar Zahin L. Tan R. Hu 8 2 0 04 Apr 2020
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging Xin Yuan Yang Liu J. Suo Qionghai Dai 68 184 0 30 Mar 2020
Deep Unfolding Network for Image Super-Resolution Peng Sun Luc Van Gool Radu Timofte SupR 175 545 0 23 Mar 2020
When deep denoising meets iterative phase retrieval Yaotian Wang Xiaohang Sun Jason W. Fleischer 122 19 0 03 Mar 2020
Momentum-Net for Low-Dose CT Image Reconstruction Siqi Ye Y. Long Il Yong Chun 101 8 0 27 Feb 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems Kaixuan Wei Angelica Aviles-Rivero Jingwei Liang Ying Fu Carola-Bibiane Schönlieb Hua Huang 80 105 0 22 Feb 2020
Deep Learning for space-variant deconvolution in galaxy surveys F. Sureau Alexis Lechat Jean-Luc Starck 3DPC 65 23 0 01 Nov 2019
On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM Ruturaj G. Gavaskar K. Chaudhury 83 13 0 31 Oct 2019
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling Risheng Liu Pan Mu Jian Chen Xin-Yue Fan Zhongxuan Luo 105 25 0 18 Oct 2019
Investigating Customization Strategies and Convergence Behaviors of Task-specific ADMM Risheng Liu Pan Mu Jin Zhang 50 6 0 24 Sep 2019
Renyi Differentially Private ADMM for Non-Smooth Regularized Optimization Chen Chen Jaewoo Lee 65 3 0 18 Sep 2019