Image restoration made simple

Details Image restoration made simple Image restoration made simple

Jan 1986

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1986spie..627..715m&link_type=abstract

IN: Instrumentation in astronomy VI; Proceedings of the Meeting, Tucson, AZ, Mar. 4-8, 1986. Part 2 (A87-36376 15-35). Bellingha

Mathematics

1

Algorithms, Image Reconstruction, Matrices (Mathematics), Recursive Functions, Astronomical Photography, Digital Techniques, Iterative Solution, Wiener Filtering

Scientific paper

Image restoration methods have conventionally had ultimate recourse to the Wiener filter and its variants, due to their relatively straightforward programmability. Attention is presently given to a class of recursive restoration algorithms based on the classical imaging equation which allow image restoration to be simplified. The bases for the algorithms are simple algebraic identities which manipulate the imaging equation into recursive forms; since some of the algorithms satisfy the positivity constraint, they are useful in the superresolution of degraded imagery. The results obtainable by these means approach those of the most sophisticated existing techniques in quality.

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