Image Recovery from Presence of Salt-and-Pepper Noise using Robust Conjugate Gradient Method
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.
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. https://doi.org/10.19139/soic-2310-5070-3213
Issue
Section
Research Articles
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
