Multiframe blind deconvolution with real data: imagery of the Hubble Space Telescope

Details Multiframe blind deconvolution with real data: imagery of the Hubble Space Telescope Multiframe blind deconvolution with real data: imagery of the Hubble Space Telescope

Nov 1997

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997oexpr...1..355s&link_type=abstract

Optics Express, vol. 1, Issue 11, p.355

Physics

Optics

7

Scientific paper

Multiframe blind deconvolution - the process of restoring resolution to blurred imagery when the precise form of the blurs is unknown - is discussed as an estimation-theoretic method for improving the resolving power of ground-based telescopes used for space surveillance. The imaging problem is posed in an estimation-theoretic frame- work whereby the object's incoherent scattering function is estimated through the simultaneous identication and correction of the distorting effects of atmospheric turbulence. An iterative method derived via the expectation-maximization (EM) procedure is reviewed, and results obtained from telescope imagery of the Hubble Space Telescope are presented.

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