Slender swarm flamingo optimization-based residual low-light image enhancement network

Fernisha, S. R.; Christopher, C. Seldev; Lyernisha, S. R.

Abstract

Image visibility issues from a low-light background affects the interpretability or perception of the images due to the lack of resolution is the major challenge. Accordingly, in this research, Slender Swarm Flamingo (SSF) optimization-based residual Low light image enhancement network (SSF optimization-based residual Lienet) is proposed for enhancing the Image resolution. Multiple solutions are generated using the meta-heuristic algorithm named SSF optimization, which is devised by the standard hybridization of the flamingo search and the particle swarm algorithm. The final desired solution is obtained by tuning the parameters in the classifier, which provides the desired output. The utility of very deep residual networks initiates residual images with high resolution that provides enhanced image output. The proficiency of the research is proved through the analysis based on the metrics with the PSNR OF 39.65 dB.

• Journal Article Type: Article
• Acceptance Date: Dec 17, 2022
• Online Publication Date: Jan 2, 2023
• Publication Date: Nov 17, 2021
• Deposit Date: Mar 5, 2025
• Journal: The Imaging Science Journal
• Print ISSN: 1368-2199
• Electronic ISSN: 1743-131X
• Publisher: Maney Publishing
• Peer Reviewed: Peer Reviewed
• Volume: 69
• Issue: 5-8
• Pages: 391-406
• DOI: https://doi.org/10.1080/13682199.2022.2161156
• Public URL: https://uwe-repository.worktribe.com/output/13909984