Conference proceeding
Higher degree total variation (HDTV) algorithms for biomedical inverse problems
Proceedings of SPIE, Vol.8138(1), pp.81380E-81380E-7
Wavelets and Sparsity XIV
09/08/2011
DOI: 10.1117/12.893062
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.
Details
- Title: Subtitle
- Higher degree total variation (HDTV) algorithms for biomedical inverse problems
- Creators
- Yue Hu - Univ. of Rochester (United States)Mathews Jacob - Univ. of Iowa (United States)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.8138(1), pp.81380E-81380E-7
- Conference
- Wavelets and Sparsity XIV
- DOI
- 10.1117/12.893062
- ISSN
- 0277-786X
- Language
- English
- Date published
- 09/08/2011
- Academic Unit
- Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Radiology; Radiation Oncology; Iowa Neuroscience Institute
- Record Identifier
- 9984070528302771
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