Conference proceeding
Multiple degree total variation (MDTV) regularization for image restoration
2016 IEEE International Conference on Image Processing (ICIP), Vol.2016-, pp.1958-1962
09/2016
DOI: 10.1109/ICIP.2016.7532700
PMID: 33628137
Abstract
We introduce a novel image regularization termed as multiple degree total variation (MDTV). This type of regularization combines the first and second degree directional derivatives, thus providing a good balance between preservation of edges and region smoothness. In order to solve the resulting optimization problem, we propose an iteratively reweighted majorize minimize algorithm. We demonstrate the utility of the MDTV regularization in the context of image denoising and compressed sensing image reconstruction. We compare the proposed method with the standard TV, and the state of the art higher degree methods, including higher degree total variation (HDTV) and total generalized variation (TGV) based schemes. Numerical results indicate that the MDTV penalty provides improved image recovery performance.
Details
- Title: Subtitle
- Multiple degree total variation (MDTV) regularization for image restoration
- Creators
- Yue Hu - Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, ChinaXin Lu - Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, ChinaMathews Jacob - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
- Resource Type
- Conference proceeding
- Publication Details
- 2016 IEEE International Conference on Image Processing (ICIP), Vol.2016-, pp.1958-1962
- DOI
- 10.1109/ICIP.2016.7532700
- PMID
- 33628137
- NLM abbreviation
- Proc Int Conf Image Proc
- ISSN
- 1522-4880
- eISSN
- 2381-8549
- Publisher
- IEEE
- Language
- English
- Date published
- 09/2016
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
- Record Identifier
- 9984070361202771
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