Plug-and-play gradient-based denoisers applied to CT image enhancement

DOI10.1016/J.AMC.2022.126967OpenAlexW3138599277MaRDI QIDQ2113683

Pasquale Cascarano, Andrea Sebastiani, E. Morotti, Elena Loli Piccolomini

Publication date: 14 March 2022

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2102.07510

zbMATH Keywords

plug-and-playCNN denoiserscomputed tomography imagingdeblur and denoiseexternal-internal image priorsgradient-based regularization

Mathematics Subject Classification ID

Numerical linear algebra (65Fxx) Communication, information (94Axx) Miscellaneous topics in calculus of variations and optimal control (49Nxx)

Related Items (1)

A fast, efficient, and explicit phase-field model for 3D mesh denoising

Uses Software

• RecPF
• BSDS

Cites Work

• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• A support-denoiser-driven framework for single image restoration
• A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
• A Review of Image Denoising Algorithms, with a New One

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