Denoising an image by denoising its components in a moving frame

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• dc.contributor.author Ghimpeteanu, Gabriela
• dc.contributor.author Batard, Thomas
• dc.contributor.author Bertalmío, Marcelo
• dc.contributor.author Levine, Stacey
• dc.date.accessioned 2019-05-30T14:40:02Z
• dc.date.available 2019-05-30T14:40:02Z
• dc.date.issued 2014
• dc.description Comunicació presentada a: the 6th International Conference, (ICISP 2014), celebrada del 30. de juny al 2 de juliol de 2014 a Cherbourg, França.ca
• dc.description.abstract In this paper, we provide a new non-local method for image denoising. The key idea we develop is to denoise the components of the image in a well-chosen moving frame instead of the image itself.We prove the relevance of our approach by showing that the PSNR of a grayscale noisy image is lower than the PSNR of its components. Experiments show that applying the Non Local Means algorithm of Buades et al. on the components provides better results than applying it directly on the image.en
• dc.description.sponsorship This work was supported by European Research Council, Starting Grant ref. 306337, and by Spanish grants AACC, ref. TIN2011-15954-E, and Plan Na- cional, ref. TIN2012-38112. S. Levine acknowledges partial support by NSF-DMS #0915219.en
• dc.format.mimetype application/pdf
• dc.identifier.citation Ghimpeteanu G, Batard T, Bertalmío M, Levine S. Denoising an image by denoising its components in a moving frame. In: Elmoataz A, Lezoray O, Nouboud F, Mammass D, editors. Image and Signal Processing: 6th International Conference, (ICISP 2014); 2014 Jun 30 - 2 Jul; Cherbourg, France. Switzerland: Springer Verlag; 2014. p. 375-83. (LNCS; no. 8509). DOI: 10.1007/978-3-319-07998-1_43
• dc.identifier.doi http://dx.doi.org/10.1007/978-3-319-07998-1_43
• dc.identifier.isbn 978-3-319-07997-4
• dc.identifier.issn 0302-9743
• dc.identifier.uri http://hdl.handle.net/10230/41664
• dc.language.iso eng
• dc.publisher Springer
• dc.relation.ispartof Elmoataz A, Lezoray O, Nouboud F, Mammass D, editors. Image and Signal Processing: 6th International Conference, (ICISP 2014); 2014 Jun 30 - 2 Jul; Cherbourg, France. Switzerland: Springer Verlag; 2014. p. 375-83. (LNCS; no. 8509).
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/306337
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2011-15954-E
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2012-38112
• dc.rights © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-07998-1_43
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Image denoisingen
• dc.subject.keyword Non-local methoden
• dc.subject.keyword Differential geometryen
• dc.title Denoising an image by denoising its components in a moving frame
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion