Daubechies Filters in Wavelet Image Compression

Authors:
Waldemar Rakowski;Zbigniew Bartosiewicz
Affiliations:
(Correspd.) Institute of Computer Science, Technical University of Bialystok, Bialystok, Poland. email: waldi@ii.pb.bialystok.pl;(Correspd.) Institute of Mathematics and Physics, Technical University of Bialystok, Bialystok, Poland email: bartos@cksr.ac.bialystok.pl
Venue:
Fundamenta Informaticae
Year:
1998

Citing 5
Cited 0

A Theory for Multiresolution Signal Decomposition: The Wavelet Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets

Ten lectures on wavelets
Concrete Mathematics: A Foundation for Computer Science

Concrete Mathematics: A Foundation for Computer Science
Embedded image coding using zerotrees of wavelet coefficients

IEEE Transactions on Signal Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

The wavelet compression method is one of the most effective techniques of digital image compression. Efficiency of this method strongly depends on the filters used in two-dimensional wavelet transform. The fundamental way of construction of finite impulse response filters was given by I. Daubechies. The paper contains foundations of technique for wavelet image compression and presents a new proof of the fact that the Daubechies filters satisfy the conditions of a perfect signal reconstruction.