A high accuracy algorithm for maximum entropy image restoration in the case of small data sets

Details A high accuracy algorithm for maximum entropy image restoration in the case of small data sets A high accuracy algorithm for maximum entropy image restoration in the case of small data sets

Jan 1985

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1985a%26a...142....9w&link_type=abstract

Astronomy and Astrophysics (ISSN 0004-6361), vol. 142, no. 1, Jan. 1985, p. 9-12.

Statistics

Computation

14

Astronomical Photometry, Computational Astrophysics, Image Reconstruction, Maximum Entropy Method, Algorithms, Astronomical Maps, Convergence, Infrared Astronomy, Iteration, Point Sources

Scientific paper

An iterative algorithm for the solution of maximum entropy problems containing a χ2-constraint is presented. Convergence and high accuracy are certain even for "tough cases". Applications are discussed with respect to the maximum entropy image restoration approach suggested by Gull and Daniell. Computational results for a series of test cases and for image restoration of scanning experiments in the field of infrared astronomy are given.

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