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    Block iterative restoration of astronomical images with the massively parallel processor (1987)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: A method is described for algebraic image restoration capable of treating astronomical images. For a typical 500 x 500 image, direct algebraic restoration would require the solution of a 250,000 x 250,000 linear system. The block iterative approach is used to reduce the problem to solving 4900 121 x 121 linear systems. The algorithm was implemented on the Goddard Massively Parallel Processor, which can solve a 121 x 121 system in approximately 0.06 seconds. Examples are shown of the results for various astronomical images.
    Keywords: COMPUTER PROGRAMMING AND SOFTWARE
    Type: Frontiers of Massively Parallel Scientific Computation; p 99-109
    Format: application/pdf
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