Computational Experience with Modified Coefficients Conjugate Gradient for Image Restoration

Authors

  • Basim A. Hassan Department of Mathematics, College of Computers Sciences and Mathematics, University of Mosul, Mosul, Iraq. Email:
  • Maysoon Aziz Department of Mathematics, College of Computers Sciences and Mathematics, University of Mosul, IRAQ

DOI:

https://doi.org/10.29020/nybg.ejpam.v16i2.4754

Keywords:

Conjugate gradient method, Coefficient conjugate gradient, Image restoration

Abstract

The Conjugate Gradient Method is a numerical optimization technique that finds the optimal solution by focusing on the coefficient conjugate. This paper presents a new coefficients conjugate gradient method for removing impulse noise from images, which is based on a quadratic function and is proven to be globally convergent. Results show that it is an effective method for image restoration.

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Published

2023-04-30

Issue

Vol. 16 No. 2: (April 2023)

Section

Nonlinear Analysis

License

Copyright (c) 2023 European Journal of Pure and Applied Mathematics

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Upon acceptance of an article by the journal, the author(s) accept(s) the transfer of copyright of the article to European Journal of Pure and Applied Mathematics.

European Journal of Pure and Applied Mathematics will be Copyright Holder.

How to Cite

Computational Experience with Modified Coefficients Conjugate Gradient for Image Restoration. (2023). European Journal of Pure and Applied Mathematics, 16(2), 975-982. https://doi.org/10.29020/nybg.ejpam.v16i2.4754

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