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

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Conference on Image Processingen_US
dc.citation.locationBarcelona, Spainen_US
dc.contributor.authorWagner, Raymonden_US
dc.contributor.authorNowak, Robert Daviden_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:00:02Z
dc.date.available2007-10-31T01:00:02Z
dc.date.issued2003-09-01en
dc.date.modified2006-07-19en_US
dc.date.note2003-08-14en_US
dc.date.submitted2003-09-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractWe 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.en_US
dc.identifier.citationR. Wagner, R. D. Nowak and R. G. Baraniuk, "Distributed Image Compression for Sensor Networks using Correspondence Analysis and Super-Resolution," 2003.
dc.identifier.doihttp://dx.doi.org/10.1109/ICIP.2003.1247032en_US
dc.identifier.urihttps://hdl.handle.net/1911/20244
dc.language.isoeng
dc.subjectsensor networks*
dc.subjectdistributed image compression*
dc.subjectsuper-resolution*
dc.subjectcorrespondence analysis*
dc.subject.keywordsensor networksen_US
dc.subject.keyworddistributed image compressionen_US
dc.subject.keywordsuper-resolutionen_US
dc.subject.keywordcorrespondence analysisen_US
dc.subject.otherImage Processing and Pattern analysisen_US
dc.titleDistributed Image Compression for Sensor Networks using Correspondence Analysis and Super-Resolutionen_US
dc.typeConference paper
dc.type.dcmiText
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