Closed-form maximum entropy image restoration

B. Roy Frieden; David J. Graser

doi:10.1117/12.279550

30 October 1997 Closed-form maximum entropy image restoration

B. Roy Frieden; David J. Graser

Author Affiliations +

Proceedings Volume 3164, Applications of Digital Image Processing XX; (1997) https://doi.org/10.1117/12.279550
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

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.

Citation Download Citation

B. Roy Frieden, B. Roy Frieden, David J. Graser, David J. Graser, } "Closed-form maximum entropy image restoration", Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); doi: 10.1117/12.279550; https://doi.org/10.1117/12.279550

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