Image Compression using PSO-ALO Hybrid Metaheuristic Technique

doi:10.23940/ijpe.21.12.p4.9981004

Abstract

Abstract: Storing and transmission of images over the Internet have become a great concern nowadays keeping limited resources in hand. To conquer these issues, one of the solutions that have proved to be correct is image compression. Image compression techniques try to reduce the redundant information from an image with minimum loss of quality. In this paper, Ant lion optimization (ALO) and Particle swarm optimization (PSO) are hybridized as a proposed algorithm to compress an image of RGB subject. Both image encoding and decoding processes are simulated in our experiments. Results show that the compression ratio and PSNR of various images using the proposed algorithm are much higher than the ones using individual algorithms.

Key words: ALO, hybrid metaheuristic technique, image compression, PSO

Smriti Sehgal, Laxmi Ahuja, and M. Hima Bindu. Image Compression using PSO-ALO Hybrid Metaheuristic Technique [J]. Int J Performability Eng, 2021, 17(12): 998-1004.

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