- Title
- A fast decoder for compressed sensing based multiple description image coding
- Creator
- Hyder, Md Mashud; Mahata, Kaushik
- Relation
- 16th IEEE International Conference on Image Processing, 2009 (ICIP 2009). 2009 IEEE International Conference on Image Processing: ICIP 2009 Proceedings (Cairo, Egypt 7-12 November, 2009) p. 2125-2128
- Publisher Link
- http://dx.doi.org/10.1109/ICIP.2009.5414268
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2009
- Description
- Multiple description coding (MDC) offers an elegant approach to data transmission over lossy packet-based networks. This paper proposes an MDC decoder for Compressed Sensing (CS) based MDC. Our decoder minimizes ℓ⁰ norm of the total variation of the image in a recursive manner, making it effective when different descriptions experience different time delays in the network. The proposed approach brings in a significant performance improvement in reconstruction accuracy and reconstruction time.
- Subject
- ℓ⁰ minimization; multiple description coding; compressed sensing; image coding
- Identifier
- http://hdl.handle.net/1959.13/919026
- Identifier
- uon:8762
- Identifier
- ISBN:9781424456550
- Rights
- Copyright © 2009 IEEE. Reprinted from the 2009 IEEE International Conference on Image Processing: ICIP 2009 Proceedings. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Language
- eng
- Full Text
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