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Image Deconvolution Using Multiple Sensors

dc.contributor.advisorBaras, J.S.en_US
dc.contributor.authorSidiropoulos, N.D.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. We use a family of suitably chosen sensors which besides being strongly coprime also satisfies additional technical conditions. The results permit the reconstruction of the original signal with arbitrarily good resolution, i.e. achieving arbitrarily large bandwidths, depending solely upon computational resources. The theoretical foundations of this technique provide a rigorous mathematical framework, and simulation results have been promising. The feasibility of construction reasonable good discrete-time, finite-bandwidth approximations has been established, and efficient Data Parallel Grid layouts that perform the required computation have been designed. A number of implementation problems arising out of the need to approximate a basically infinite computation have been addressed.en_US
dc.format.extent3041185 bytes
dc.relation.ispartofseriesISR; MS 1990-6en_US
dc.subjectdigital communicationsen_US
dc.subjectimage processingen_US
dc.subjectsignal processingen_US
dc.subjectparallel architecturesen_US
dc.subjectSystems Integrationen_US
dc.titleImage Deconvolution Using Multiple Sensorsen_US

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