Comparative Analysis of Lossless Image Compression Algorithms

Umer Ijaz ()
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Umer Ijaz: Department of Electrical Engineering & Technology, GC University, Faisalabad

International Journal of Innovations in Science & Technology, 2023, vol. 5, issue 4, 548-561

Abstract: This research paper conducts a comprehensive analysis of three key lossless image compression algorithms: Run-Length Encoding (RLE), Burrows-Wheeler Transform (BWT) and Differential Pulse Code Modulation (DPCM). The increasing demand for efficient image storage and transmission necessitates a thorough examination of these algorithms. Lossless compression plays a crucial role in diminishing data redundancy while safeguarding the integrity and quality of images. The study encompasses data collection, performance metrics, and algorithm evaluation. Results reveal the strengths and weaknesses of each algorithm. RLE excels in image quality preservation but may not achieve the highest compression ratios. DPCM provides a compromise between resource-efficient compression and image fidelity. BWT offers a competitive balance between compression efficiency and image quality. Based on the comprehensive analysis of three key lossless image compression algorithms, it was observed that BWT emerges as a versatile choice that offers competitive compression while maintaining reasonable image quality. However, when choosing the most suitable algorithm, it is essential to consider specific application requirements, including the desired level of image quality preservation and the availability of computational resource.

Keywords: Lossless Image Compression; Run-Length Encoding; Burrows-Wheeler Transform; Differential Pulse Code Modulation; PSNR; SSIM; MSE; RMSE; Bitrate; Computational Complexity (search for similar items in EconPapers)
Date: 2023
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