Iterative algorithm to improve the separating power on coded-aperture images

Details Iterative algorithm to improve the separating power on coded-aperture images Iterative algorithm to improve the separating power on coded-aperture images

Feb 1989

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1989apopt..28..755l&link_type=abstract

Applied Optics (ISSN 0003-6935), vol. 28, Feb. 15, 1989, p. 755-758.

Mathematics

Algorithms, Blurring, Gamma Ray Telescopes, Image Processing, Iterative Solution, Spatial Resolution, Apertures, Cross Correlation, Matrices (Mathematics), Point Spread Functions

Scientific paper

A hard X-ray/medium energy gamma-ray telescope is being developed using coded-aperture imaging. The image recorded on the detector has to be cross-correlated to deconvolve the sky map. This map suffers from blurring due to the spatial resolution of the position sensitive detector and to the simple point spread funciton of the cross-correlation method. An iterative method has been developed and tested which improves the separating power of the reconstructed maps. The results and limits of the method are discussed.

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