Performance Analysis of Data Compression using Two-Dimensional Wavelet Tool

Authors

  • Awatif Ali Sorman College of Science and Technology, Sorman, Libya
  • Wafa Edradi Higher Institute of Science and Technology, Sabratha, Libya
  • Tasneem E. Egreara Faculty of Engineering, Sabratha University, Sabratha, Libya
  • Hend A. Eissa College of Electronic technology, Tripoli, Libya/ Department of Information Technology, Alenetaq University, Tripoli, Libya

Keywords:

Image Compression, Peak Signal-to-Noise Ratio (PSNR), and Bits Per Pixel (BPP)

Abstract

This study conducts a comparative investigation of several image compression techniques, namely WDR, ASWDR, STW, SPIHT, and EZW, with particular emphasis on the impact of wavelet filter orders, image content, and compression ratios on compression efficiency. The evaluation framework employs objective performance metrics, including Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), and Bits Per Pixel (BPP), derived from the reconstructed images. Experimental validation was carried out using four standard benchmark images, thereby providing a rigorous assessment of the effectiveness and relative performance of the examined algorithms.

Dimensions

Published

2025-10-12

How to Cite

Awatif Ali, Wafa Edradi, Tasneem E. Egreara, & Hend A. Eissa. (2025). Performance Analysis of Data Compression using Two-Dimensional Wavelet Tool. African Journal of Advanced Pure and Applied Sciences (AJAPAS), 4(4), 130–138. Retrieved from https://www.aaasjournals.com/index.php/ajapas/article/view/1578

Issue

Volume 4, Issue 4, 2025

Section

Articles
Copyright & Licensing
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.