Image Recovery from Presence of Salt-and-Pepper Noise using Robust Conjugate Gradient Method

Authors

  • Ayad Abdulaziz Mahmood Department of Statistics and Information Techniques Technical, College of Management, Mosul, Northern Technical University
  • Saif A. Hussein Department of Mathematic, College of Computers Sciences and Mathematics, University of Mosul, IRAQ
  • Basim Abas Hassan Salladdin in Education Directorate, Tikrit, IRAQ

DOI:

https://doi.org/10.19139/soic-2310-5070-3213

Keywords:

Optimization, Robust conjugate gradient, Reducing impulse noise

Abstract

Conjugate gradient techniques concentrate on the conjugate of the coefficient. In this research, we provide a novel coefficient conjugate gradient method to remove impulsive noise from images using the Taylor series. We have presented an intriguing conjugate gradient approach and a search strategy based on the new coefficient conjugate. Under certain conditions, we show that the proposed method converges globally. Our numerical findings show that this method works well for picture restoration.

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Published

2026-01-13

How to Cite

Abdulaziz Mahmood, A., A. Hussein, S., & Basim Abas Hassan. (2026). Image Recovery from Presence of Salt-and-Pepper Noise using Robust Conjugate Gradient Method. Statistics, Optimization & Information Computing, 15(5), 3752–3760. https://doi.org/10.19139/soic-2310-5070-3213

Issue

Vol. 15 No. 5 (2026)

Section

Research Articles

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