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Distributed Image Compression in Camera Networks

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Title: Distributed Image Compression in Camera Networks
Author: Wagner, Raymond
Type: Masters Thesis
Keywords: distributed image compression; sensor networks; camera networks
Citation: R. Wagner, "Distributed Image Compression in Camera Networks," Rice University, 2004.
Abstract: Dense 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.
Date Published: 2004-05-01

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  • ECE Publications [1032 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.