DocumentCode :
832538
Title :
A nonlinear diffusion-based three-band filter bank
Author :
Benazza-Benyahia, Amel ; Pesquet, Jean-Christophe ; Krim, Hamid
Author_Institution :
COSI Group, Ecole Superieure des Commun. de Tunis, Ariana, Tunisia
Volume :
10
Issue :
12
fYear :
2003
Firstpage :
360
Lastpage :
363
Abstract :
In this letter, we revisit a number of concepts that have recently proven to be useful in multiresolution signal analysis, specifically by replacing the now classical linear-scale transition operators by nonlinear ones. More precisely, we address the problem of designing appropriate operators associated to nonlinear filter banks using multiscale analysis. We first establish a connection between nonlinear filter banks and partial differential equations operators used in scale-space theory. Toward this end, we propose specific structures of nonlinear three-band decompositions ensuring a perfect reconstruction. The behavior of the proposed structures is analyzed for a step-like signal in a high SNR scenario, and a simulation is proposed for a more complex scenario.
Keywords :
channel bank filters; filtering theory; nonlinear differential equations; nonlinear filters; partial differential equations; signal reconstruction; signal representation; signal resolution; edge preservation; high SNR; multiresolution signal analysis; multiscale analysis; nonlinear filter banks; nonlinear operators; nonlinear three-band decompositions; partial differential equations; perfect reconstruction; scale-space theory; step-like signal; Analytical models; Computational modeling; Filter bank; Image reconstruction; Multiresolution analysis; Nonlinear filters; Partial differential equations; Signal analysis; Signal resolution; Wavelet analysis;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2003.818864
Filename :
1247831
Link To Document :
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