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

How to Cite

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

Issue

Vol. 16 No. 2: (April 2023)

Section

Nonlinear Analysis

License

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

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