The practical use of Daubechies wavelet transform in image compression

Abstract

Wavelet transforms are more and more often implemented in image compression. Each transform possesses its own unique features which influence on the quality of compressed image. In this article a family of Daubechies wavelet transforms and Haar transform are presented and their influence on lossy compression of six different images. The quality of compressed images was evaluated with measures based on the difference between original and compressed pixels, correlation measures, spectral and edge measures.