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Proceedings Paper

Extensions to total variation denoising
Author(s): Peter Blomgren; Tony F. Chan; Pep Mulet
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Paper Abstract

The total variation denoising method, proposed by Rudin, Osher and Fatermi, 92, is a PDE-based algorithm for edge-preserving noise removal. The images resulting from its application are usually piecewise constant, possibly with a staircase effect at smooth transitions and may contain significantly less fine details than the original non-degraded image. In this paper we present some extensions to this technique that aim to improve the above drawbacks, through redefining the total variation functional or the noise constraints.

Paper Details

Date Published: 24 October 1997
PDF: 9 pages
Proc. SPIE 3162, Advanced Signal Processing: Algorithms, Architectures, and Implementations VII, (24 October 1997); doi: 10.1117/12.279496
Show Author Affiliations
Peter Blomgren, Univ. of California/Los Angeles (United States)
Tony F. Chan, Univ. of California/Los Angeles (United States)
Pep Mulet, Univ. of California/Los Angeles and Univ. de Valencia (Spain)


Published in SPIE Proceedings Vol. 3162:
Advanced Signal Processing: Algorithms, Architectures, and Implementations VII
Franklin T. Luk, Editor(s)

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