Image Compression based on Adaptive Polynomial Coding of Hard & Soft Thresholding

Authors

  • Ghadah Al-Khafaji Department of Computers, College of Science, University of Baghdad, Baghdad, Iraq
  • Noor Sabah Mahdi Department of Computers, College of Science, University of Baghdad, Baghdad, Iraq

Keywords:

Image compression, polynomial coding and hard and soft thresholding

Abstract

In this paper, an adaptive polynomial compression technique is introduced of hard and soft thresholding of transformed residual image that efficiently exploited both the spatial and frequency domains, where the technique starts by applying the polynomial coding in the spatial domain and then followed by the frequency domain of discrete wavelet transform (DWT) that utilized to decompose the residual image of hard and soft thresholding base. The results showed the improvement of adaptive techniques compared to the traditional polynomial coding technique.

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Published

2022-06-24

Issue

Section

Computer Science

How to Cite

Image Compression based on Adaptive Polynomial Coding of Hard & Soft Thresholding. (2022). Iraqi Journal of Science, 57(2B), 1302-1307. https://ijs.uobaghdad.edu.iq/index.php/eijs/article/view/7392

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