Non-convex TGV regularized <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.svg"><mml:msub><mml:mi>ℓ</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:math>-norm fidelity model for impulse noise removal-Reference-Cited by-同舟云学术

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Non-convex TGV regularized ℓ0-norm fidelity model for impulse noise removal

Published:2023-11 Issue: Volume:212 Page:109125
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Sun Ting^ORCID,Liu Xinwu^ORCID

Funder

Scientific Research Foundation of Hunan Provincial Education Department

Natural Science Foundation of Hunan Province

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference35 articles.

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

2. An efficient TVL1 algorithm for deblurring multichannel images corrupted by impulsive noise;Yang;SIAM J. Sci. Comput.,2009

3. High-order total variation-based image restoration;Chan;SIAM J. Sci. Comput.,2000

4. Noise removal using fourth order partial differential equation with applications to medical magnetic resonance images in space and time;Lysaker;IEEE Trans. Image Process.,2003

5. Image restoration using total variation with overlapping group sparsity;Liu;Inf. Sci.,2015

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