Distributed Image Compression in Camera Networks

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dc.citation.bibtexNamemastersthesisen_US
dc.citation.journalTitleRice Universityen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.creatorWagner, Raymond
dc.date.accessioned2007-10-31T01:08:16Z
dc.date.available2007-10-31T01:08:16Z
dc.date.issued2004-05-01
dc.date.modified2005-01-26en_US
dc.date.submitted2005-01-25en_US
dc.descriptionMasters Thesisen_US
dc.description.abstractDense networks of wireless, battery-powered sensors are now feasible thanks to recent hardware advances, but key issues such as power consumption plague widespread deployment. Fortunately, in a dense network of sensors, cross-sensor correlation can be exploited to reduce the communication power consumption. In this thesis, we examine a novel technique for distributed image compression in sensor networks. First, sensors are allowed to share low-bandwidth descriptors of their fields of view as image feature points, allowing sensors to identify a common region of overlap. The region is then compressed via spatial downsampling, and image super-resolution techniques are employed at the receiver to reconstruct an original-resolution estimate of the common area from the set of low-resolution sensor images. We demonstrate the feasibility of such an algorithm via a prototype implementation, and we evaluate the effectiveness of the proposed technique using a set of real sensor images gathered with an off-the-shelf digital camera.en_US
dc.identifier.citation "Distributed Image Compression in Camera Networks," <i>Rice University,</i> 2004.
dc.identifier.urihttps://hdl.handle.net/1911/20418
dc.language.isoeng
dc.subjectdistributed image compression*
dc.subjectsensor networks*
dc.subjectcamera networks*
dc.subject.keyworddistributed image compressionen_US
dc.subject.keywordsensor networksen_US
dc.subject.keywordcamera networksen_US
dc.subject.otherDSP for Communicationsen_US
dc.titleDistributed Image Compression in Camera Networksen_US
dc.typeThesis
dc.type.dcmiText
thesis.degree.levelMasters
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