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On Image Deconvolution Using Multiple Sensors

dc.contributor.authorSidiropoulos, N.en_US
dc.contributor.authorBaras, John S.en_US
dc.contributor.authorBerenstein, Carlos A.en_US
dc.description.abstractWe consider the two dimensional Analytic Bezout Equation (ABE) and investigate the properties of a particular solution, based on-certain conditions imposed on the convolution kernels. The results permit the reconstruction of the original signal using compactly supported deconvolution kernels. Arbitrarily good resolution (i.e. large bandwidth) can be achieved based solely upon computational resources. A number of implementation problems arising out of the need to approximate a basically infinite computation have been addressed and efficient Data Parallel grid layouts that perform the required computation have been designed.en_US
dc.format.extent1709041 bytes
dc.relation.ispartofseriesISR; TR 1990-59en_US
dc.subjectmultiple sensorsen_US
dc.subjecthigh resolutionen_US
dc.subjectimage processingen_US
dc.subjectparallel architecturesen_US
dc.subjectSystems Integrationen_US
dc.titleOn Image Deconvolution Using Multiple Sensorsen_US
dc.typeTechnical Reporten_US

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