| dc.contributor.author | Nagy, James G. | en_US |
| dc.contributor.author | O'Leary, Dianne P. | en_US |
| dc.date.accessioned | 2004-05-31T22:46:48Z | |
| dc.date.available | 2004-05-31T22:46:48Z | |
| dc.date.created | 1997-06 | en_US |
| dc.date.issued | 1998-10-15 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1903/906 | |
| dc.description.abstract | We 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.extent | 771308 bytes | |
| dc.format.mimetype | application/postscript | |
| dc.language.iso | en_US | |
| dc.relation.ispartofseries | UM Computer Science Department; CS-TR-3810 | en_US |
| dc.relation.ispartofseries | UMIACS; UMIACS-TR-97-53 | en_US |
| dc.title | Fast Iterative Image Restoration with a Spatially-Varying PSF | en_US |
| dc.type | Technical Report | en_US |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_US |
| dc.relation.isAvailableAt | University of Maryland (College Park, Md.) | en_US |
| dc.relation.isAvailableAt | Tech Reports in Computer Science and Engineering | en_US |
| dc.relation.isAvailableAt | UMIACS Technical Reports | en_US |
