Maximum entropy restoration of blurred and oversaturated Hubble Space Telescope imagery

Maximum entropy restoration of blurred and oversaturated Hubble Space Telescope imagery

A brief introduction to image reconstruction is made and the basic concepts of the maximum entropy method are outlined. A statistical inference algorithm based on this method is presented. The algorithm is tested on simulated data and applied to real data. The latter is from a 1024 × 1024 Hubble Spa...

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Veröffentlicht in:Applied Optics 1993-10, Vol.32 (29), p.5768-5774
Hauptverfasser: Bonavito, N L, Dorband, J E, Busse, T
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container_issue 29
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container_title Applied Optics
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creator Bonavito, N L
Dorband, J E
Busse, T
description A brief introduction to image reconstruction is made and the basic concepts of the maximum entropy method are outlined. A statistical inference algorithm based on this method is presented. The algorithm is tested on simulated data and applied to real data. The latter is from a 1024 × 1024 Hubble Space Telescope image of the binary stellar system R Aquarii, which suffers from both spherical aberration and detector saturation. Under these constraints the maximum entropy method produces an image that agrees closely with observed results. The calculations were performed on the MasPar MP-1 single-instruction/multiple-data computer.
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title Maximum entropy restoration of blurred and oversaturated Hubble Space Telescope imagery
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