On Image Deconvolution Using Multiple Sensors
dc.contributor.author | Sidiropoulos, N. | en_US |
dc.contributor.author | Baras, John S. | en_US |
dc.contributor.author | Berenstein, Carlos A. | en_US |
dc.contributor.department | ISR | en_US |
dc.date.accessioned | 2007-05-23T09:46:15Z | |
dc.date.available | 2007-05-23T09:46:15Z | |
dc.date.issued | 1990 | en_US |
dc.description.abstract | We 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.extent | 1709041 bytes | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1903/5007 | |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | ISR; TR 1990-59 | en_US |
dc.subject | deconvolution | en_US |
dc.subject | multiple sensors | en_US |
dc.subject | high resolution | en_US |
dc.subject | image processing | en_US |
dc.subject | parallel architectures | en_US |
dc.subject | Systems Integration | en_US |
dc.title | On Image Deconvolution Using Multiple Sensors | en_US |
dc.type | Technical Report | en_US |
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