An adaptive conjugate gradient method for impulse noise removal-Reference-Cited by-同舟云学术

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An adaptive conjugate gradient method for impulse noise removal

Published:2023 Issue:0 Volume:0 Page:0-0
ISSN:1547-5816
Container-title:Journal of Industrial and Management Optimization
language:
Short-container-title:JIMO

Author:

Zhang Liqiao, ,Xiong Jiang,Feng Yuming,Liu Jinkui, ,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Control and Optimization,Strategy and Management,Business and International Management,Insect Science,Ecology,Ecology, Evolution, Behavior and Systematics

Reference25 articles.

1. A new efficient approach for the removal of impulse noise from highly corrupted images

2. On two symmetric Dai-Kou type schemes for constrained monotone equations with image recovery application

3. A Modified Conjugate Descent Projection Method for Monotone Nonlinear Equations and Image Restoration

4. Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal

J. F. Cai, R. H. Chan and B. Morini, Minimization of an edge-preserving regularization functional by conjugate gradient type methods, in: Tai XC, Lie KA, Chan TF, Osher S, editors, Image Processing Based on Partial Differential Equations. Mathematics and Visualization, Berlin, Heidelberg/Germany: Springer, (2007), 109-122.

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