Image Impulse Noise Reduction Using a Conjugate Gradient of Alternative Parameter

Authors

  • Hawraz N. Jabbar
  • Yeldez J. Subhi
  • Basim A. Hassan Department of Mathematics, College of Computers Sciences and Mathematics, University of Mosul, Mosul, Iraq. Email:

DOI:

https://doi.org/10.29020/nybg.ejpam.v16i3.4849

Keywords:

Alternative Parameter gradient, Global convergence, Image restoration problems

Abstract

Conjugate gradient approaches emphasise the conjugate formula. This study creates a new conjugate coefficient for the conjugate gradient approach to restore pictures using Perry’s conjugacy condition and a quadratic model. Algorithms have global convergence and descent. The new technique performed better in numerical testing. The new conjugate gradient technique outperforms the FR method. The new technique performed better in numerical testing. The new conjugate gradient technique outperforms the FR method.

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Published

2023-07-30

How to Cite

Jabbar, H. N., Subhi, Y. J., & Hassan, B. A. (2023). Image Impulse Noise Reduction Using a Conjugate Gradient of Alternative Parameter. European Journal of Pure and Applied Mathematics, 16(3), 1624–1633. https://doi.org/10.29020/nybg.ejpam.v16i3.4849

Issue

Vol. 16 No. 3: (July 2023)

Section

Nonlinear Analysis

License

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

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