NDLI: Comparative study of scalar and multiwavelet filters in transform-based compression of IRLS images

Content Provider	IEEE Xplore Digital Library
Author	Milovanovic, D. Marincic, A. Petrovic, G. Barbaric, Z.
Copyright Year	1999
Description	Author affiliation: Fac. of Electr. Eng., Belgrade, Serbia (Milovanovic, D.)
Abstract	Multiwavelets are a new addition to the wavelet theory of discrete numerical transform. Realizable as matrix-valued filter-banks leading to wavelet transform bases, multiwavelets offer simultaneous orthogonality, symmetry and short support, which is not possible with scalar 2-channel wavelet filter-banks. We study two DmWT (Discrete multiWavelet Transform) decomposition (RR "repeated row" and PF "critically sampled preprocessing") algorithms versus the scalar dyadic wavelet transform. We compare the compression efficiency of these algorithms by retaining a given number of largest coefficients in the 2-dimensional transform of test images and measuring the MSE approximation error. In systematic experiments we change the IRLS (infrared line-scan) test images, decomposition algorithms as well as the filters type/order. The obtained computer results prove the significant improvement of the DmWT over the scalar wavelet transform for comparative filter order and moderate higher computational complexity.
Starting Page	169
Ending Page	172
File Size	581754
Page Count	4
File Format	PDF
ISBN	078035768X
DOI	10.1109/TELSKS.1999.804717
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-13
Publisher Place	Yugoslavia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Discrete wavelet transforms Channel bank filters Matrix decomposition Image coding Approximation algorithms Discrete transforms Approximation error Infrared imaging System testing Wavelet transforms
Content Type	Text
Resource Type	Article

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