DocumentCode
304560
Title
Reconstruction and super-resolution of dilute aperture imagery
Author
Miller, C. ; Hunt, B.R. ; Kendrick, R.L. ; Duncan, A.L.
Author_Institution
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
697
Abstract
Improving the resolving power of diffraction-limited imaging devices has most often been accomplished with costly increases in the size of the imaging aperture. To minimize cost and construction difficulty yet still improve image resolution we use a dilute aperture imaging system followed by post-processing with the Poisson maximum a-posteriori (PMAP) algorithm to achieve image reconstruction and super-resolution. We give a description of the algorithm as well as show an example of its performance on images taken with a dilute aperture optical system
Keywords
image reconstruction; image resolution; maximum likelihood estimation; optical transfer function; stochastic processes; Poisson maximum a-posteriori algorithm; algorithm; diffraction limited imaging devices; dilute aperture imaging system; dilute aperture optical system; image reconstruction; image resolution; imaging aperture size; optical transfer function; performance; postprocessing; superresolution; Apertures; Convolution; Costs; Diffraction; Equations; Image reconstruction; Image resolution; Image restoration; Optical imaging; Power engineering computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.559594
Filename
559594
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