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Distributed Image Compression for Sensor Networks using Correspondence Analysis and Super-Resolution

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dc.contributor.author Wagner, Raymond
Nowak, Robert David
Baraniuk, Richard G.
dc.creator Wagner, 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.uri http://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.subject sensor networks
distributed image compression
super-resolution
correspondence analysis
dc.subject.other Image 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.center Digital Signal Processing (http://dsp.rice.edu/)
dc.subject.keyword sensor networks
distributed image compression
super-resolution
correspondence analysis
dc.citation.location Barcelona, Spain
dc.citation.conferenceName IEEE International Conference on Image Processing
dc.identifier.citation R. Wagner, R. D. Nowak and R. G. Baraniuk,"Distributed Image Compression for Sensor Networks using Correspondence Analysis and Super-Resolution," in IEEE International Conference on Image Processing,

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  • ECE Publications [1082 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.