Odd-length armlets with flipping property and its application in image compression

Authors:
Lihong Cui;Weixing Wang
Affiliations:
School of Science, Beijing University of Chemical Technology, Beijing 100029, PR China;Zhejiang Provincial Department of Education, Zhejiang 310014, PR China
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 7
Cited 0

A study of orthonormal multi-wavelets

Applied Numerical Mathematics - Special issue on selected keynote papers presented at 14th IMACS World Congress, Atlanta, NJ, July 1994
Balanced MultiWavelets

ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Armlets and balanced multiwavelets: flipping filter construction

IEEE Transactions on Signal Processing
A new prefilter design for discrete multiwavelet transforms

IEEE Transactions on Signal Processing
Design of prefilters for discrete multiwavelet transforms

IEEE Transactions on Signal Processing
Orthogonal multiwavelets with optimum time-frequency resolution

IEEE Transactions on Signal Processing
Optimal multifilter banks: design, related symmetric extensiontransform, and application to image compression

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	12.05

Visualization

Abstract

Armlet introduced by Lian is a novel property of multiwavelet designed for signal processing. In this paper, we first recall some concepts of armlet. Then, we construct a new class of analysis ready multiwavelets (armlets) with odd-length filters based on Lian's method. To test the performance of armlet in application, we study the statistical analysis of their discrete multiwavelet transforms (DMWTs) and use them to compress images. In comparison with other wavelets, armlets show potential advantages.