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Evolutionary denoising based on an estimation of Hölder exponents with oscillations.

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierArtificial Evolution and Fractals [COMPLEX]
dc.contributor.authorLEGRAND, Pierrick
hal.structure.identifierArtificial Evolution and Fractals [COMPLEX]
dc.contributor.authorLUTTON, Evelyne
hal.structure.identifierCentro de Investigacion Cientifica y de Education Superior de Ensenada [Mexico] [CICESE]
dc.contributor.authorOLAGUE, Gustavo
dc.date.accessioned2024-04-04T02:49:24Z
dc.date.available2024-04-04T02:49:24Z
dc.date.issued2006
dc.date.conference2006-04-10
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191821
dc.description.abstractEnIn multifractal denoising techniques, the acuracy of the Holder exponents estimations is crucial for the quality of the outputs. In continuity with the method described in [1], where a wavelet decomposition was used, we investigate the use of another H¨older exponent estimation technique, based on the analysis of the local "oscillations" of the signal. The associated inverse problem to be solved, i.e. finding the signal whichis the closest to the initial noisy one but having the prescribed regularity, is then more complex. Moreover, the associated search space is of a different nature as in [J. Levy Vehel and E. Lutton, "Evolutionary signal enhancement based on holder regularity analysis," EVOIASP2001, LNCS 2038, 2001.], which necessitates the design of ad-hoc genetic operators.
dc.language.isoen
dc.publisherSpringer
dc.source.title8th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing
dc.title.enEvolutionary denoising based on an estimation of Hölder exponents with oscillations.
dc.typeCommunication dans un congrès
dc.identifier.doi10.1007/11732242_49
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halInformatique [cs]/Intelligence artificielle [cs.AI]
bordeaux.page520-524
bordeaux.volumeApplications of evolutionary computing
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue3907
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleEvoIASP 2006 - 8th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing
bordeaux.countryHU
bordeaux.title.proceeding8th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing
bordeaux.conference.cityBudapest
bordeaux.peerReviewedoui
hal.identifierhal-00294873
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2006-04-12
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00294873v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=8th%20European%20Workshop%20on%20Evolutionary%20Computation%20in%20Image%20Analysis%20and%20Signal%20Processing&rft.date=2006&rft.volume=Applications%20of%20evolutionary%20computing&rft.issue=3907&rft.spage=520-524&rft.epage=520-524&rft.au=LEGRAND,%20Pierrick&LUTTON,%20Evelyne&OLAGUE,%20Gustavo&rft.genre=unknown


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