Designing non-stationary biorthogonal wavelets for improved image compression

Yasmine Fourar; Khaled Melkemi

Author(s)

Yasmine Fourar Department of Mathematics, Faculty of Mathematics and Informatics University of Batna 2,Fesdis, Batna,ALGERIA

Khaled Melkemi Department of Mathematics, Faculty of Mathematics and Informatics University of Batna 2,Fesdis, Batna,ALGERIA

Abstract

This paper presents a novel method for designing non-stationary biorthogonal wavelets using normality and biorthogonality conditions of nonstationary multiresolution analysis. Non-stationary biorthogonal wavelets are efective in reducing image size while preserving quality, and can capture localized features accurately, making them a popular choice in image compression algorithms.

Publication Details

Page(s) 13-22

DOI DOI not available

Published Journal: Journal of Applied Probability and Statistics, Volume: 19, Issue: 2, Year: 2024

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Keywords

Entropy, and phrases, Signal processing, Image Compression, Filter banks, Cardinal Chebyshev B-spline, Biorthogonality, Non-stationary wavelets