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doi:10.1016/j.acha.2004.11.006    
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Copyright © 2004 Elsevier Inc. All rights reserved.

Building nonredundant adaptive wavelets by update liftingstar, open

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Henk J.A.M. Heijmansa, Béatrice Pesquet-Popescub and Gemma Piellab, Corresponding Author Contact Information, E-mail The Corresponding Author

aCWI, P.O. Box 94079, 1090 GB Amsterdam, The Netherlands

bSignal and Image Processing Department, Ecole Nationale Supérieure des Télécommunications, 37-39, rue Dareau, 75014 Paris, France


Received 17 April 2003; 
revised 9 November 2004; 
accepted 29 November 2004. 
Communicated by Stephane Mallat. 
Available online 2 February 2005.

Abstract

In this paper, we propose a technique for building adaptive wavelets by means of an extension of the lifting scheme. Our scheme comprises an adaptive update lifting step and a fixed prediction lifting step. The adaptivity consists hereof that the system can choose between two different update filters, and that this choice is triggered by the local gradient of the original signal. If the gradient is large (in some seminorm sense) it chooses one filter, if it is small the other. We derive necessary and sufficient conditions for the invertibility of such an adaptive system for various scenarios. Furthermore, we present some examples to illustrate our theoretical results.

Keywords: Adaptive wavelets; Lifting scheme; Perfect reconstruction filter bank; Seminorm; Weighted gradient seminorm

star, openThe work of Heijmans and Pesquet-Popescu was partially supported by the IST Programme of the EU under contract No. IST-2000-26467 (MASCOT). The work of Piella was sponsored by the Dutch Technology Foundation STW, project No. CWI 4616.


Corresponding Author Contact InformationCorresponding author.

 
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