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Proceedings Paper

Higher degree total variation (HDTV) algorithms for biomedical inverse problems
Author(s): Yue Hu; Mathews Jacob
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Paper Abstract

We introduce novel generalized regularization functionals to overcome the practical problems associated with current total variation (TV) penalty. Specically, we extend the TV scheme to higher order derivatives to improve the representation of smoothly varying image regions. In addition, we introduce a rotation invariant anisotropic TV penalty to improve the regularity of the edge contours. The validation of the scheme demonstrates the signicantly improved performance of the proposed methods in the context of compressed sensing and denoising.

Paper Details

Date Published: 27 September 2011
PDF: 7 pages
Proc. SPIE 8138, Wavelets and Sparsity XIV, 81380E (27 September 2011); doi: 10.1117/12.893062
Show Author Affiliations
Yue Hu, Univ. of Rochester (United States)
Mathews Jacob, Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 8138:
Wavelets and Sparsity XIV
Manos Papadakis; Dimitri Van De Ville; Vivek K. Goyal, Editor(s)

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