EPLL image restoration with a bounded asymmetrical Student’s-t mixture model-Reference-Cited by-同舟云学术

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EPLL image restoration with a bounded asymmetrical Student’s-t mixture model

Published:2022-10 Issue: Volume:88 Page:103611
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Yu Qiqiong,Cao Guo,Shi Hao,Zhang Youqiang,Fu Peng

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference56 articles.

1. Nonlinear total variation-based noise removal algorithms;Rudin;Physica D,1992

2. Image denoising via a new anisotropic total-variation-based model;Pang;Signal Process. Image Commun.,2019

3. An iterative regularization method for total variation- based image restoration;Osher;Multiscale Model. Simul.,2005

4. Alternating total variation and non-local total variation for fast compressed sensing magnetic resonance imaging;Hao;Electron. Lett.,2015

5. Poisson-Skellam distribution based regularization conditional random field method for photon-limited Poisson image denoising;Zhang;Signal Process.,2021

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