Denoising based on non local means for ultrasound images with simultaneous multiple noise distributions

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.contributorCNRS LTCI-
Autor(es): dc.contributorInstitut de Mathématiques de Bordeaux-
Autor(es): dc.creatorSalvadeo, Denis H. P.-
Autor(es): dc.creatorBloch, Isabelle-
Autor(es): dc.creatorTupin, Florence-
Autor(es): dc.creatorMascarenhas, Nelson D. A.-
Autor(es): dc.creatorLevada, Alexandre L. M.-
Autor(es): dc.creatorDeledalle, Charles-Alban-
Autor(es): dc.creatorDahdouh, Sonia-
Data de aceite: dc.date.accessioned2025-08-21T23:32:10Z-
Data de disponibilização: dc.date.available2025-08-21T23:32:10Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2014-01-28-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/ICIP.2014.7025546-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/228083-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/228083-
Descrição: dc.descriptionIn this paper, an extension of the framework proposed by Deledalle et al. [1] for Non Local Means (NLM) method is proposed. This extension is a general adaptive method to denoise images containing multiple noises. It takes into account a segmentation stage that indicates the noise type of a given pixel in order to select the similarity measure and suitable parameters to perform the denoising task, considering a certain patch on the image. For instance, it has been experimentally observed that fetal 3D ultrasound images are corrupted by different types of noise, depending on the tissue. Finally, the proposed method is applied to denoise these images, showing very good results.-
Descrição: dc.descriptionSão Paulo State University DEMAC-
Descrição: dc.descriptionFederal University of São Carlos Computer Department-
Descrição: dc.descriptionInstitut Mines-Télécom Télécom ParisTech CNRS LTCI-
Descrição: dc.descriptionUniversité Bordeaux 1 Institut de Mathématiques de Bordeaux-
Descrição: dc.descriptionSão Paulo State University DEMAC-
Formato: dc.format2699-2703-
Idioma: dc.languageen-
Relação: dc.relation2014 IEEE International Conference on Image Processing, ICIP 2014-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectimage denoising-
Palavras-chave: dc.subjectmultiple noises-
Palavras-chave: dc.subjectnon local means-
Palavras-chave: dc.subjectultrasound image-
Palavras-chave: dc.subjectultrasound segmentation-
Título: dc.titleDenoising based on non local means for ultrasound images with simultaneous multiple noise distributions-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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