Conference proceeding
Image recovery using improved total variation regularization
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.1154-1157
03/2011
DOI: 10.1109/ISBI.2011.5872606
Abstract
We introduce generalized regularization functionals to overcome the practical problems associated with current total variation (TV) penalty. Specifically, 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 significantly improved performance of the proposed methods in the context of compressed sensing and denoising.
Details
- Title: Subtitle
- Image recovery using improved total variation regularization
- Creators
- Yue Hu - Dept. of Electr. & Comput. Eng., Univ. of Rochester, Rochester, NY, USAMathews Jacob - Dept. of Biomed. Eng., Univ. of Rochester, Rochester, NY, USA
- Resource Type
- Conference proceeding
- Publication Details
- 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.1154-1157
- Publisher
- IEEE
- DOI
- 10.1109/ISBI.2011.5872606
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Language
- English
- Date published
- 03/2011
- Academic Unit
- Radiation Oncology; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Radiology; Iowa Neuroscience Institute
- Record Identifier
- 9984070843202771
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