Noise reduction in adaptive optics imagery with the use of support constraints

Details Noise reduction in adaptive optics imagery with the use of support constraints Noise reduction in adaptive optics imagery with the use of support constraints

Jun 1994

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994spie.2198.1116m&link_type=abstract

Proc. SPIE Vol. 2198, p. 1116-1126, Instrumentation in Astronomy VIII, David L. Crawford; Eric R. Craine; Eds.

Astronomy and Astrophysics

Astronomy

Scientific paper

The use of support constraints for noise reduction in images obtained with telescopes that use adaptive optics for atmospheric correction is discussed in paper. The effectiveness of support constraints in achieving noise reduction is discussed in terms of the noise properties and in terms of the type of algorithms used to enforce the support constraints. Both a convex projections and a cost function minimization algorithm are used to enforce the support constraints, and it is shown via computer simulation and field data that the cost function algorithm results in artifacts in the reconstructions, in general. The convex projections algorithms produced mean square error decreases in the image domain of approximately 10% for high light levels, but essentially no error decreases for low light levels.

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