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dc.contributor.authorBonmassar, Giorgioen_US
dc.contributor.authorSchwartz, Eric L.en_US
dc.date.accessioned2011-11-14T19:07:52Z
dc.date.available2011-11-14T19:07:52Z
dc.date.issued1998-02en_US
dc.identifier.urihttp://hdl.handle.net/2144/2342
dc.description.abstractFoveated, log-polar, or space-variant image architectures provide a high resolution and wide field workspace, while providing a small pixel computation load. These characteristics are ideal for mobile robotic and active vision applications. Recently we have described a generalization of the Fourier Transform (the fast exponential chirp transform) which allows frame-rate computation of full-field 2D frequency transforms on a log-polar image format. In the present work, we use Wiener filtering, performed using the Exponential Chirp Transform, on log-polar (fovcated) image formats to de-blur images which have been degraded by uniform camera motion.en_US
dc.description.sponsorshipDefense Advanced Research Projects Agency and Office of Naval Research (N00014-96-C-0178); Office of Naval Research Multidisciplinary University Research Initiative (N00014-95-1-0409)en_US
dc.language.isoen_USen_US
dc.publisherBoston University Center for Adaptive Systems and Department of Cognitive and Neural Systemsen_US
dc.relation.ispartofseriesBUCAS/CNS Technical Reports; BUCAS/CNS-TR-1998-008en_US
dc.rightsCopyright 1998 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.en_US
dc.titleReal-Time Restoration of Images Degraded by Uniform Motion Blur in Foveal Active Vision Systemsen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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