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Proceedings Paper

Entropy-Based Image Restoration: Modifications And Additional Results
Author(s): Robert A. Gonsalves; Rose M. Korte; John P. Kennealy
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Paper Abstract

A new approach to the application of maximum entropy principles in image restoration is being developed. It is an iterative process which combines a Wiener filter restoration and modifications to the Wiener image that are Entropy-based. The result is an image with well-restored frequency content and very little of the spuriousness commonly introduced by inverse filters. The algorithm is fast, stable to convergence, and will accommodate any specifiable distorting function.

Paper Details

Date Published: 18 January 1988
PDF: 8 pages
Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); doi: 10.1117/12.942104
Show Author Affiliations
Robert A. Gonsalves, Tufts University (United States)
Rose M. Korte, Mission Research Corporation (United States)
John P. Kennealy, Mission Research Corporation (United States)

Published in SPIE Proceedings Vol. 0829:
Applications of Digital Image Processing X
Andrew G. Tescher, Editor(s)

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