Image restoration based on the minimized surface regularization-Reference-Cited by-同舟云学术

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Image restoration based on the minimized surface regularization

Published:2018-10 Issue:8 Volume:76 Page:1893-1905
ISSN:0898-1221
Container-title:Computers & Mathematics with Applications
language:en
Short-container-title:Computers & Mathematics with Applications

Author:

Pang Zhi-Feng,Guo Li-Zhen,Duan Yuping,Lu Jian

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Guangdong Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computational Mathematics,Computational Theory and Mathematics,Modeling and Simulation

Reference39 articles.

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

2. An algorithm for image removals and decompositions without inverse matrices;Yi;J. Comput. Appl. Math.,2009

3. A nonlinear primal–dual method for total variation-based image restoration;Chan;SIAM J. Sci. Comput.,1999

4. Augmented Lagrangian method, dual methods, and split Bregman iteration for ROF, vectorial TV, and high order models;Wu;SIAM J. Imaging Sci.,2010

5. Multiplicative noise removal in imaging: An exp-model and its fixed-point proximity algorithm;Lu;Appl. Comput. Harmon. Anal.,2016

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1. Image denoising based on a new anisotropic mean curvature model;Inverse Problems and Imaging;2023

2. Image Restoration by Projection onto Convex Sets with Particle Swarm Parameter Optimization;International Journal of Engineering;2023

3. A vectorial minimized surface regularizer based image registration model and its numerical algorithm;Applied Mathematical Modelling;2022-06

4. A novel weighted total variation model for image denoising;IET Image Processing;2021-05-16

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