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Proceedings Paper

Closed-form maximum entropy image restoration
Author(s): B. Roy Frieden; David J. Graser
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Paper 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.

Paper Details

Date Published: 30 October 1997
PDF: 9 pages
Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); doi: 10.1117/12.279550
Show Author Affiliations
B. Roy Frieden, Optical Sciences Ctr./Univ. of Arizona (United States)
David J. Graser, Eastern Arizona College (United States)

Published in SPIE Proceedings Vol. 3164:
Applications of Digital Image Processing XX
Andrew G. Tescher, Editor(s)

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