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Optical Engineering

Entropy-Based Algorithm For Reducing Artifacts In Image Restoration
Author(s): Robert A. Gonsalves; Huei-Mei Kao
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Paper Abstract

We introduce a simple algorithm to reduce artifacts that often appear in image restoration techniques such as Wiener filtering. The algorithm starts with the inverse filter solution and iteratively calculates 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. We show both 1 -D and 2-D examples to illustrate the algorithm.

Paper Details

Date Published: 1 July 1987
PDF: 6 pages
Opt. Eng. 26(7) 267617 doi: 10.1117/12.7974126
Published in: Optical Engineering Volume 26, Issue 7
Show Author Affiliations
Robert A. Gonsalves, Tufts University (United States)
Huei-Mei Kao, The Perkin-Elmer Corporation (United States)

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