2026-04-13T05:49:32Zhttps://recercat.cat/oai/request

oai:recercat.cat:10230/416642025-12-22T13:46:04Zcom_2072_6col_2072_452952

urn:hdl:10230/41664 Denoising an image by denoising its components in a moving frame Ghimpeteanu, Gabriela Batard, Thomas Bertalmío, Marcelo Levine, Stacey Image denoising Non-local method Differential geometry Comunicació presentada a: the 6th International Conference, (ICISP 2014), celebrada del 30. de juny al 2 de juliol de 2014 a Cherbourg, França. 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. 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. 2019-05-30T14:40:02Z 2019-05-30T14:40:02Z 2014 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion 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). info:eu-repo/grantAgreement/EC/FP7/306337 info:eu-repo/grantAgreement/ES/3PN/TIN2011-15954-E info:eu-repo/grantAgreement/ES/3PN/TIN2012-38112 © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-07998-1_43 info:eu-repo/semantics/openAccess Springer