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Proceedings Paper

Maximum Entropy Image Restoration: Formulated As A Correction Term To The Inverse Filter Solution
Author(s): Robert A. Gonsalves; Huei-Mei Kao
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Paper Abstract

We introduce a simplified technique for calculating the maximum entropy solution for restoration of degraded images. We show that the maximum entropy solution can be formulated as an inverse filter estimate plus a correction term. The estimate starts with the inverse filter solution and an iterative algorithm produces the correction term. At each iteration we use an entropy gradient and an analytically calculated step size. The algorithm uses two Fourier transforms per iteration. Examples show that, after only a few iterations, the technique reduces the artifacts often found in the inverse filter estimate.

Paper Details

Date Published: 10 December 1986
PDF: 7 pages
Proc. SPIE 0697, Applications of Digital Image Processing IX, (10 December 1986); doi: 10.1117/12.976239
Show Author Affiliations
Robert A. Gonsalves, Tufts University (United States)
Huei-Mei Kao, Perkin-Elmer (United States)

Published in SPIE Proceedings Vol. 0697:
Applications of Digital Image Processing IX
Andrew G. Tescher, Editor(s)

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