A Refined Conjugate Gradient Algorithm for Image Denoising

Authors

  • Faisal Falah Aiwa Mosul University Presidency, University of Mosul, IRAQ
  • Nasmah Jameel Hameed Department of Mathematics, College of Computers Sciences and Mathematics University of Mosul, IRAQ
  • Basim Abas Hassan

DOI:

https://doi.org/10.19139/soic-2310-5070-3605

Keywords:

Refined Conjugate Gradient, Convergence property, Impulse Noise Reduction from Images

Abstract

The conjugate formula is often the major focus of research in the field of conjugate gradient approaches. The conjugate gradient approach is employed to address challenges encountered in the realm of image restoration. Through the application of a quadratic model, an innovative coefficient conjugate will be generated for the operation. The algorithms exhibit both local and global convergence along with descent characteristics. The numerical evaluations indicated that the recently formulated method significantly surpasses its predecessor. The newly established conjugate gradient approach demonstrates enhanced efficacy relative to the FR conjugate gradient methodology, which is regarded as the benchmark within the industry.

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Published

2026-07-03

How to Cite

Aiwa, F. F., Hameed, N. J., & Basim Abas Hassan. (2026). A Refined Conjugate Gradient Algorithm for Image Denoising. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-3605

Issue

Online First

Section

Research Articles

License

Copyright (c) 2026 Faisal Falah Aiwa, Nasmah Jameel Hameed, Basim Abas Hassan

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