WAVELET TRANSFORM AND LIP MODEL

The Fourier transform is well suited to the study of stationary functions. Yet, it is superseded by the Wavelet transform for the powerful characterizations of function features such as singularities. On the other hand, the LIP (Logarithmic Image Processing) model is a mathematical framework develop...

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Main Authors: Guy Courbebaisse, Frederic Trunde, Michel Jourlin
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2011-05-01
Series:Image Analysis and Stereology
Subjects:
Online Access:http://www.ias-iss.org/ojs/IAS/article/view/703
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author Guy Courbebaisse
Frederic Trunde
Michel Jourlin
author_facet Guy Courbebaisse
Frederic Trunde
Michel Jourlin
author_sort Guy Courbebaisse
collection DOAJ
description The Fourier transform is well suited to the study of stationary functions. Yet, it is superseded by the Wavelet transform for the powerful characterizations of function features such as singularities. On the other hand, the LIP (Logarithmic Image Processing) model is a mathematical framework developed by Jourlin and Pinoli, dedicated to the representation and processing of gray tones images called hereafter logarithmic images. This mathematically well defined model, comprising a Fourier Transform "of its own", provides an effective tool for the representation of images obtained by transmitted light, such as microscope images. This paper presents a Wavelet transform within the LIP framework, with preservation of the classical Wavelet Transform properties. We show that the fast computation algorithm due to Mallat can be easily used. An application is given for the detection of crests.
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spelling doaj.art-44dd6d4dcd4040bc97eef3a5bd0226ba2022-12-21T18:39:07ZengSlovenian Society for Stereology and Quantitative Image AnalysisImage Analysis and Stereology1580-31391854-51652011-05-0121212112510.5566/ias.v21.p121-125675WAVELET TRANSFORM AND LIP MODELGuy CourbebaisseFrederic TrundeMichel JourlinThe Fourier transform is well suited to the study of stationary functions. Yet, it is superseded by the Wavelet transform for the powerful characterizations of function features such as singularities. On the other hand, the LIP (Logarithmic Image Processing) model is a mathematical framework developed by Jourlin and Pinoli, dedicated to the representation and processing of gray tones images called hereafter logarithmic images. This mathematically well defined model, comprising a Fourier Transform "of its own", provides an effective tool for the representation of images obtained by transmitted light, such as microscope images. This paper presents a Wavelet transform within the LIP framework, with preservation of the classical Wavelet Transform properties. We show that the fast computation algorithm due to Mallat can be easily used. An application is given for the detection of crests.http://www.ias-iss.org/ojs/IAS/article/view/703logarithmic image processinglogarithmic wavelet transformwavelet transform
spellingShingle Guy Courbebaisse
Frederic Trunde
Michel Jourlin
WAVELET TRANSFORM AND LIP MODEL
Image Analysis and Stereology
logarithmic image processing
logarithmic wavelet transform
wavelet transform
title WAVELET TRANSFORM AND LIP MODEL
title_full WAVELET TRANSFORM AND LIP MODEL
title_fullStr WAVELET TRANSFORM AND LIP MODEL
title_full_unstemmed WAVELET TRANSFORM AND LIP MODEL
title_short WAVELET TRANSFORM AND LIP MODEL
title_sort wavelet transform and lip model
topic logarithmic image processing
logarithmic wavelet transform
wavelet transform
url http://www.ias-iss.org/ojs/IAS/article/view/703
work_keys_str_mv AT guycourbebaisse wavelettransformandlipmodel
AT frederictrunde wavelettransformandlipmodel
AT micheljourlin wavelettransformandlipmodel