Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0165-1684(99)00079-1
Title: New biorthogonal multiwavelets for image compression
Authors: Tan, H.H. 
Shen, L.-X. 
Tham, J.Y. 
Issue Date: Nov-1999
Source: Tan, H.H., Shen, L.-X., Tham, J.Y. (1999-11). New biorthogonal multiwavelets for image compression. Signal Processing 79 (1) : 45-65. ScholarBank@NUS Repository. https://doi.org/10.1016/S0165-1684(99)00079-1
Abstract: There has been a growing research interest in the areas of construction and application of multiwavelets over the past few years. In a previous paper, we introduced a class of symmetric-antisymmetric orthonormal multiwavelets which were constructed directly from orthonormal scalar wavelets. These multiwavelets were shown to perform better than existing orthonormal multiwavelets and scalar wavelets in terms of image compression performance and computational complexity. However, their performance still lags behind some popular biorthogonal scalar wavelets such as Daubechies' D(9/7) and Villasenor's V(10/18). This paper aims to address this shortcoming by extending our earlier work to the biorthogonal setting. Two methods of construction are introduced; thus resulting in previously unpublished symmetric-antisymmetric biorthogonal multiwavelet filters. Extensive simulations showed that these multiwavelet filters can give an improvement of up to 0.7 dB over D(9/7) and V(10/18), and yet require only comparable but often lower computational cost. More importantly, better preservation of textures and edges of the reconstructed images was also observed.
Source Title: Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/103600
ISSN: 01651684
DOI: 10.1016/S0165-1684(99)00079-1
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

34
checked on Feb 13, 2018

WEB OF SCIENCETM
Citations

28
checked on Feb 19, 2018

Page view(s)

43
checked on Feb 18, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.