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ICIP
2003
IEEE

Distributed image compression for sensor networks using correspondence analysis and super-resolution

15 years 1 months ago
Distributed image compression for sensor networks using correspondence analysis and super-resolution
We outline a distributed codingtechnique 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 feahlre points and feature point wrrespondence. An area of overlap is then idenuied, and each sensor transmits a low-resolution version of the common image block to the receiver, amortizing the coding wst for that block among the set of sensors. Super-resolution techniques are finally employed at the receiver to recmstruct a high-resolutionversion of the common block. We discuss the registration and super-resolution techniques used and presentexamplesof each stepin the proposed codingprocess. A numerical analysis illustratingthe potentialcoding benefit follows,and we conclude with a brief discussion of the key issues remaining to be resolved on the path to coder robustness.
R. Wagner, Robert D. Nowak, Richard G. Baraniuk
Added 24 Oct 2009
Updated 24 Oct 2009
Type Conference
Year 2003
Where ICIP
Authors R. Wagner, Robert D. Nowak, Richard G. Baraniuk
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