Evolving Better Wavelet Compression Schemes (1995)
Popular Tags
No tags have been applied to this document.
BibTeX | Add To MetaCart
author = {Andreas Klappenecker and Frank U. May},
title = {Evolving Better Wavelet Compression Schemes},
booktitle = {in Proc. of Wavelet Applications in Signal and Image Processing III, 12{14},
year = {1995},
pages = {614--622}
}
Bookmarks
OpenURL
Abstract:
Wavelet based compression schemes belong to the general class of transform coding schemes. We show how the genetic programming approach can be used to optimize such a compression scheme in the sense of rate-distortion. The results of optimized wavelet based compression schemes are compared with the JPEG compression standard. A prototype implementation of the method is realized as a distributed, parallel implementation on a heterogeneous Unix network. Keywords: Wavelets, compression, optimization, genetic programming. 1 INTRODUCTION Lossy image data compression is an impressive application of wavelet algorithms. The aim is to implement an efficient compression scheme, which is flexible enough to cover a great variety of bit rates while achieving a minimum of distortion. This goal can only be attained if the scheme is adapted to the human visual system as well as to the image class considered. We show how the genetic programming paradigm 8 can be used to optimize wavelet based compre...
