DocumentCode :
1594328
Title :
Super-resolution in a synthetic aperture imaging system
Author :
Green, J.J. ; Hunt, B.R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Volume :
1
fYear :
1997
Firstpage :
865
Abstract :
Large telescopes have reached a limit of practical realization, restricted by the high costs of manufacturing large and precise optics. To overcome these limitations, images can be collected from a strip aperture which rotates to synthesize a circular one. Variations of a Poisson maximum a priori (PMAP) algorithm are applied to the collection of frames to reconstruct and super-resolve the image set producing an estimate of the original object. We provide a brief discussion of the algorithms along with examples of their performance in a simulated imaging environment, with two different algorithm formulations
Keywords :
Poisson distribution; image reconstruction; image resolution; image restoration; maximum likelihood estimation; optical images; telescopes; PMAP algorithm; Poisson maximum a priori algorithm; image reconstruction; image restoration; strip aperture rotation; super-resolution; synthetic aperture imaging; telescopes; Aggregates; Apertures; Costs; Diffraction; Image reconstruction; Image resolution; Image sequences; Optical imaging; Strips; Telescopes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
Type :
conf
DOI :
10.1109/ICIP.1997.648103
Filename :
648103
Link To Document :
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