A decomposition framework for image denoising algorithms

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• dc.contributor.author Ghimpeteanu, Gabrielaca
• dc.contributor.author Batard, Thomasca
• dc.contributor.author Bertalmío, Marceloca
• dc.contributor.author Levine, Staceyca
• dc.date.accessioned 2016-06-17T07:14:38Z
• dc.date.available 2016-06-17T07:14:38Z
• dc.date.issued 2016ca
• dc.description.abstract In this paper, we consider an image decomposition model that provides a novel framework for image denoising. The model computes the components of the image to be processed in a moving frame that encodes its local geometry (directions of gradients and level lines). Then, the strategy we develop is to denoise the components of the image in the moving frame in order to preserve its local geometry, which would have been more affected if processing the image directly. Experiments on a whole image database tested with several denoising methods show that this framework can provide better results than denoising the image directly, both in terms of Peak signal-to-noise ratio and Structural similarity index metrics.
• dc.description.sponsorship The work of G. Ghimpeteanu, T. Batard, and/nM. Bertalmío was supported in part by the Spanish Government under/nGrant TIN2012-38112, in part by the Icrea Academia Award, and in/npart by the European Research Council under Grant 306337. The work/nof S. Levine was supported by the Na/ntional Science Foundation under/nGrant NSF-DMS 1320829.
• dc.format.mimetype application/pdfca
• dc.identifier.citation Ghimpeteanu G, Batard T, Bertalmío M, Levine S. A decomposition framework for image denoising algorithms. IEEE Transactions on Image Processing. 2016;25(1):388-99. DOI: 10.1109/TIP.2015.2498413ca
• dc.identifier.doi http://dx.doi.org/10.1109/TIP.2015.2498413
• dc.identifier.issn 1057-7149ca
• dc.identifier.uri http://hdl.handle.net/10230/26940
• dc.language.iso engca
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)ca
• dc.relation.ispartof IEEE Transactions on Image Processing. 2016;25(1):388-99
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/306337ca
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2012-38112
• dc.rights © 2015 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.subject.keyword Image denoising
• dc.subject.keyword Local variational method
• dc.subject.keyword Patch-based method
• dc.subject.keyword Differential geometry
• dc.title A decomposition framework for image denoising algorithmsca
• dc.type info:eu-repo/semantics/articleca
• dc.type.version info:eu-repo/semantics/acceptedVersionca