Closed-form maximum entropy image restoration

Details Closed-form maximum entropy image restoration Closed-form maximum entropy image restoration

Oct 1997

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997spie.3164..140f&link_type=abstract

Proc. SPIE Vol. 3164, p. 140-148, Applications of Digital Image Processing XX, Andrew G. Tescher; Ed.

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The use of maximum entropy image restoration has, heretofore, required recursive, or iterative, search routines. This paper, by contrast, describes a one-pass, closed-form maximum entropy algorithm. The approach derives from minimization of a Log-L2 error norm between object and reconstruction. The resulting output has the form of the exponential of a Wiener-type filtering of the image data. The logarithmic nature of the norm gives rise to a tendency toward constant relative error across the output field.

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