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dc.contributor.authorNagy, James G.en_US
dc.contributor.authorO'Leary, Dianne P.en_US
dc.date.accessioned2004-05-31T22:46:48Z
dc.date.available2004-05-31T22:46:48Z
dc.date.created1997-06en_US
dc.date.issued1998-10-15en_US
dc.identifier.urihttp://hdl.handle.net/1903/906
dc.description.abstractWe describe how to efficiently apply a spatially-variant blurring operator using linear interpolation of measured point spread functions. Numerical experiments illustrate that substantially better resolution can be obtained at very little additional cost compared to piecewise constant interpolation. (Also cross-referenced as UMIACS-TR-97-53)en_US
dc.format.extent771308 bytes
dc.format.mimetypeapplication/postscript
dc.language.isoen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3810en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-97-53en_US
dc.titleFast Iterative Image Restoration with a Spatially-Varying PSFen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US


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