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dc.contributor.authorWagner, Raymond
Nowak, Robert David
Baraniuk, Richard G.
dc.creatorWagner, Raymond
Nowak, Robert David
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T01:00:02Z
dc.date.available 2007-10-31T01:00:02Z
dc.date.issued 2003-09-01
dc.date.submitted 2003-09-01
dc.identifier.urihttp://hdl.handle.net/1911/20244
dc.description Conference Paper
dc.description.abstract We outline a distributed coding technique for images captured from sensors with overlapping fields of view in a sensor network. First, images from correlated views are roughly registered (relative to a sensor of primary interest) via a low-bandwidth data-sharing method involving image feature points and feature point correspondence. An area of overlap is then identified, and each sensor transmits a low-resolution version of the common image block to the receiver, amortizing the coding cost for that block among the set of sensors. Super-resolution techniques are finally employed at the receiver to reconstruct a high-resolution version of the common block. We discuss the registration and super-resolution techniques used and present examples of each step in the proposed coding process. A numerical analysis illustrating the potential coding benefit follows, and we conclude with a brief discussion of the key issues remaining to be resolved on the path to coder robustness.
dc.language.iso eng
dc.subjectsensor networks
distributed image compression
super-resolution
correspondence analysis
dc.subject.otherImage Processing and Pattern analysis
dc.title Distributed Image Compression for Sensor Networks using Correspondence Analysis and Super-Resolution
dc.type Conference paper
dc.date.note 2003-08-14
dc.citation.bibtexName inproceedings
dc.date.modified 2006-07-19
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordsensor networks
distributed image compression
super-resolution
correspondence analysis
dc.citation.location Barcelona, Spain
dc.citation.conferenceName IEEE International Conference on Image Processing
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doi 10.1109/ICIP.2003.1247032
dc.identifier.citation R. Wagner, R. D. Nowak and R. G. Baraniuk, "Distributed Image Compression for Sensor Networks using Correspondence Analysis and Super-Resolution," 2003.


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  • ECE Publications [1136]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.

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