Resolution enhancement by polyphase back-projection filtering

B. Cohen, I. Dinstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The method for reconstruction and restoration of super resolution images from low resolution sequences presented is an extension of Irani and Peleg's (1991) algorithm. The input is a set of low resolution images that have been registered to a pixel translation accuracy. A high resolution image is initialized and iteratively improved by back-projecting the errors between the low resolution images and the respective images obtained by simulating the imaging system. The sub-pixel translations between the low resolution images are quantized. The imaging system's PSF and back-projection function are estimated with a resolution higher than that of the super resolution image and decimated so that two banks of polyphase filters are obtained. The use of the polyphase filters allows exploitation of all the input images without any smoothing or interpolation operations.

Original languageEnglish
Title of host publicationProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
Pages2921-2924
Number of pages4
DOIs
StatePublished - 1 Dec 1998
Event1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998 - Seattle, WA, United States
Duration: 12 May 199815 May 1998

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
ISSN (Print)1520-6149

Conference

Conference1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
Country/TerritoryUnited States
CitySeattle, WA
Period12/05/9815/05/98

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