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Proceedings Paper

Restoration of images degraded by mechanical vibrations
Author(s): Ofer Hadar; Z. Adar; A. Cotter; Yitzhak Yitzhaky; Norman S. Kopeika
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Paper Abstract

A method of calculating numerically the optical transfer function appropriate to any type of image motion and vibration, including random ones, has been developed. This method has been verified experimentally, and the close agreement justifies implementation in image restoration for blurring deriving from any type of image motion. The goal of this research is to recover the original image from its degraded version. There are many methods of image restoration based on the point spread function. One of the common methods is the Wiener filter. Here, some image restorations of synthetic degradation and physically degraded images are presented, based on a constrained least squares improvement of the original Wiener filter. The key to restoration is determination of the optical transfer function unique to each particular image motion and vibration.

Paper Details

Date Published: 5 July 1994
PDF: 11 pages
Proc. SPIE 2221, Acquisition, Tracking, and Pointing VIII, (5 July 1994); doi: 10.1117/12.178953
Show Author Affiliations
Ofer Hadar, Ben-Gurion Univ. of the Negev (Israel)
Z. Adar, Ben-Gurion Univ. of the Negev (Israel)
A. Cotter, Ben-Gurion Univ. of the Negev (Israel)
Yitzhak Yitzhaky, Ben-Gurion Univ. of the Negev (Israel)
Norman S. Kopeika, Ben-Gurion Univ. of the Negev (Israel)

Published in SPIE Proceedings Vol. 2221:
Acquisition, Tracking, and Pointing VIII
Michael K. Masten; Larry A. Stockum; Morris M. Birnbaum; George E. Sevaston, Editor(s)

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