Title:
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Denoising an image by denoising its components in a moving frame
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Author:
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Ghimpeteanu, Gabriela; Batard, Thomas; Bertalmío, Marcelo; Levine, Stacey
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Abstract:
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Comunicació presentada a: the 6th International Conference, (ICISP 2014), celebrada del 30. de juny al 2 de juliol de 2014 a Cherbourg, França. |
Abstract:
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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. [5]
on the components provides better results than applying it directly on
the image. |
Abstract:
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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. |
Subject(s):
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-Image denoising -Non-local method -Differential geometry |
Rights:
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© Springer The final publication is available at Springer via
http://dx.doi.org/10.1007/978-3-319-07998-1_43 |
Document type:
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Conference Object Article - Accepted version |
Published by:
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Springer
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