Slender Swarm Flamingo optimization-based residual low-light image enhancement network

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.

KEYWORDS:

• Optimization
• residual network
• LIENET
• image enhancement
• residual LIENET
• low light visibility images
• flamingo algorithm
• meta-heuristic algorithm

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

S. R. Fernisha

S. R. Fernisha received her B.E. degree in Electronics and Communication Engineering from Anna University Chennai in 2015 with First Class & Distinction and M.E. degrees in Communication Systems from Anna University Chennai in 2017 with First class & Distinction respectively. She is currently pursuing her Ph.D. degree at St. Xavier's Catholic College of Engineering, Nagercoil, India. Her area of interest is Digital Image Processing.

C. Seldev Christopher

C. Seldev Christopher received his B.E. degree in Electronics and Communication Engineering from Manonmaniam Sundaranar University, India in 1997 and M.E. degree in Communication Systems from Madurai Kamaraj University, India in 1999. He is in the teaching field since January 2000. He joined as a Research Scholar under Dr.N. Krishnan, professor and head, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, India and completed his Doctorate degree in 2010. His area of specialization is Communication Systems Engineering- Computer Science and Engineering. He has twenty two International publications in Journals and more than thirty papers in International Conferences to his credit. He is a resource person in various FDP and Workshops in the field of image processing and MATLAB. He is a Senior Member of IEEE and member of ACM, IET and ISTE. His field of interest includes image processing and signal processing. He is the approved supervisor for guiding Ph.D students under Anna University Chennai.

S. R. Lyernisha

S. R. Lyernisha received her B.E. degree in Electronics and Communication Engineering from Anna University Chennai in 2013 with First Class and M.E. degrees in Communication & Networking from Anna University Chennai in 2015 with First class respectively. She is currently pursuing her Ph.D. degree at St. Xavier's Catholic College of Engineering, Nagercoil, India. Her area of interest is Digital Image Processing.