Baraniuk, Richard G.2009-06-042009-06-042004Wagner, Raymond S.. "Distributed image compression in camera networks." (2004) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17740">https://hdl.handle.net/1911/17740</a>.https://hdl.handle.net/1911/17740Dense 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.65 p.application/pdfengCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.ElectronicsElectrical engineeringThesisTHESIS E.E. 2004 WAGNER