Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/91965
Type: Artigo de evento
Title: Multiscale Methods For Image Processing: The Wavelet And The Scale-space Approaches
Author: Dorini L.B.
Leite N.J.
Abstract: Multiscale approaches have been largely considered in several signal processing applications. They play an important role when designing automatic methods to cope with real world measurements where, in most of the cases, there is no prior information about which would be the appropriate scale. The basic idea behind a multiscale analysis is to embed the original signal into a family of derived signals, thus allowing the analysis of different representation levels and, further, the choice of the ones exhibiting the interest features. This paper presents a brief survey of two broadly used multiscale formulations, namely, wavelets and scale-space filtering. We present the basic definitions and some possible applications of these approaches in image processing. © 2009 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/SIBGRAPI-Tutorials.2009.11
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-77949644641&partnerID=40&md5=75cd16fbe4a66a1d112f838419eac3dd
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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