Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration

DOI10.1137/22m1504809zbMath1528.94006arXiv2110.00493OpenAlexW3201868929MaRDI QIDQ6173529

Christine Guillemot, Mikaël le Pendu

Publication date: 21 July 2023

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2110.00493

zbMATH Keywords

interpolationADMMinverse problemspreconditioningdenoisingplug-and-play prior

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent

Cites Work

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• Waterloo Exploration Database: New Challenges for Image Quality Assessment Models
• Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
• Iterative Joint Image Demosaicking and Denoising Using a Residual Denoising Network
• THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA

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