Wagner, RaymondNowak, Robert DavidBaraniuk, Richard G.2007-10-312007-10-312003-09-012003-09-01R. Wagner, R. D. Nowak and R. G. Baraniuk, "Distributed Image Compression for Sensor Networks using Correspondence Analysis and Super-Resolution," 2003.https://hdl.handle.net/1911/20244Conference PaperWe 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.engsensor networksdistributed image compressionsuper-resolutioncorrespondence analysisImage Processing and Pattern analysisConference papersensor networksdistributed image compressionsuper-resolutioncorrespondence analysishttp://dx.doi.org/10.1109/ICIP.2003.1247032