A robust version of the Lee filter for speckle reduction and contrast enhancement applied to side scan sonar images

cic.institucionOrigenCentro de Investigaciones en Física e Ingenieríaes
cic.isFulltexttruees
cic.isPeerReviewedtruees
cic.lugarDesarrolloUniversidad Nacional del Centro de la Provincia de Buenos Aireses
cic.versioninfo:eu-repo/semantics/acceptedVersiones
dc.date.accessioned2021-08-27T13:33:09Z
dc.date.available2021-08-27T13:33:09Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/11080
dc.titleA robust version of the Lee filter for speckle reduction and contrast enhancement applied to side scan sonar imagesen
dc.typeDocumento de conferenciaes
dcterms.abstractSonar images are typically affected by a granular pattern interference known as speckle noise, which degrades image contrast. To aid in object detection and recognition for speckled imagery, a robust version of the Lee filter is presented. The new method essentially combines robust statistics with an adaptive approach to achieve an effective balance between contrast stretching and speckle reduction. Tests were performed on real sonar images, where objective metrics and direct visual perception were used to evaluate the results. Experiments have shown that this easy-to-implement filter remarkably highlights edges and details with apparent speckle reduction, offering a promising simple tool that may be useful in segmentation and classification applications.en
dcterms.creator.authorFerraggine, Vivianaes
dcterms.creator.authorVillar, Sebastiánes
dcterms.descriptionPublicado en: 2020 IEEE Congreso Bienal de Argentina (ARGENCON)es
dcterms.identifier.otherdoi:10.1109/ARGENCON49523.2020.9505346es
dcterms.isPartOf.series2020 IEEE Biennial Congress of Argentina (ARGENCON) - Resistencia Chacoes
dcterms.issued2020-12
dcterms.languageIngléses
dcterms.licenseAttribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0)es
dcterms.subjectSide Scan Sonaren
dcterms.subjectNoise reductionen
dcterms.subjectImage enhancementen
dcterms.subjectRobust statisticsen
dcterms.subject.materiaCiencias de la Computación e Informaciónes

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