Image compression technique based on two new parametrized thresholding operators


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Authors

  • Bachir Douib Department of Mathematics, University of Eloued, 39000 Eloued, Algeria
  • Mohammed Salah Mesai Aoun Department of Mathematics, University of Eloued, 39000 Eloued, Algeria
  • Bachir Dehda Department of Mathematics, University of Eloued, 39000 Eloued, Algeria
  • Abdelaziz Azeb Ahmed Department of Mathematics, University of Eloued, 39000 Eloued, Algeria
  • Fares Yazid Department of Mathematics, University of Laghouat, 03000 Laghouat, Algeria

Keywords:

Image Compression, Hard Thresholding, Soft Thresholding, Wavelet Basis, Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR)

Abstract

In this paper, we introduce a new way to compress images using two innovative thresholding operators that are carefully designed with parameters. These operators are meant to handle comparison tasks more effectively. Our results show that they have clear benefits and perform better than the usual Hard and Soft thresholding methods. We’ve also included some example images and data to show how accurate and efficient our approach is, especially when looking at PSNR and CR measurements.

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Published

2025-12-02

How to Cite

Douib, B., Mesai Aoun, M. S., Dehda, B., Azeb Ahmed, A., & Yazid, F. (2025). Image compression technique based on two new parametrized thresholding operators. Results in Nonlinear Analysis, 8(3), 136–147. Retrieved from https://nonlinear-analysis.com/index.php/pub/article/view/705