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

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Title: Distributed Image Compression for Sensor Networks using Correspondence Analysis and Super-Resolution
Author: Wagner, Raymond; Nowak, Robert David; Baraniuk, Richard G.
Type: Conference Paper
Keywords: sensor networks; distributed image compression; super-resolution; correspondence analysis
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,
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.
Date Published: 2003-09-01

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  • ECE Publications [1030 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.