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|a eng
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|a Chan, T F
|e verfasserin
|4 aut
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|a The digital TV filter and nonlinear denoising
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|c 2001
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|a ƒaComputermedien
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|a Date Completed 20.05.2010
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|a Date Revised 05.02.2008
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a Motivated by the classical TV (total variation) restoration model, we propose a new nonlinear filter-the digital TV filter for denoising and enhancing digital images, or more generally, data living on graphs. The digital TV filter is a data dependent lowpass filter, capable of denoising data without blurring jumps or edges. In iterations, it solves a global total variational (or L(1)) optimization problem, which differs from most statistical filters. Applications are given in the denoising of one dimensional (1-D) signals, two-dimensional (2-D) data with irregular structures, gray scale and color images, and nonflat image features such as chromaticity
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|a Journal Article
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|a Osher, S
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|a Shen, J
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|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 10(2001), 2 vom: 15., Seite 231-41
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|u http://dx.doi.org/10.1109/83.902288
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