New Version Conjugate Gradient Method for Image Impulse Noise Removals

A three-term conjugate gradient adaptive approach is presented to solve unconstrained problems, producing enough descent paths on each iteration. Our suggested technique differs from the current ones in that it develops a dynamical adjustment conjugacy condition. We demonstrate the global convergence of the suggested approach under moderate conditions. Numerical testing of the novel approach shows that it solves the test issues effectively and is hence promising. Additionally, we applied the new algorithm to image restoration problems and compared it with the FR method, finding that the new algorithm demonstrated high efficiency in image restoration problems.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/ismsit63511.2024.10757200
Primary Topic
Image and Signal Denoising Methods
Type
article
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article

New Version Conjugate Gradient Method for Image Impulse Noise Removals

Basim A. Hassan, Hisham M. Khudhur, Ammar D. Jasim
Image and Signal Denoising Methods
article

New Version Conjugate Gradient Method for Image Impulse Noise Removals

Basim A. Hassan, Hisham M. Khudhur, Ammar D. Jasim
article en

Abstract

A three-term conjugate gradient adaptive approach is presented to solve unconstrained problems, producing enough descent paths on each iteration. Our suggested technique differs from the current ones in that it develops a dynamical adjustment conjugacy condition. We demonstrate the global convergence of the suggested approach under moderate conditions. Numerical testing of the novel approach shows that it solves the test issues effectively and is hence promising. Additionally, we applied the new algorithm to image restoration problems and compared it with the FR method, finding that the new algorithm demonstrated high efficiency in image restoration problems.

University of Mosul (IQ)
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Image and Signal Denoising Methods
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