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Optical Engineering

Restoration and resolution enhancement of a single image from a vibration-distorted image sequence
Author(s): Adrian Stern; Elad Kempner; Avi Shukrun; Norman S. Kopeika
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Paper Abstract

In many applications such as in airborne and terrestrial reconnaissance, robotics, medical imaging, and machine vision systems, the images of a video sequence are severely distorted by vibrations. Superresolution algorithms are suitable for restoring an image from a lowfrequency vibrated sequence because of high correlation between the frames and inherent interframe motion. However, we show that superresolution algorithms, which were developed for general types of blur, should be adapted to the specific characteristics of low-frequency vibration blur. We demonstrate that in the case of image sequences distorted by vibration, the images should be selected prior to processing. We find empirical selection criteria and propose a selection procedure.

Paper Details

Date Published: 1 September 2000
PDF: 7 pages
Opt. Eng. 39(9) doi: 10.1117/1.1288124
Published in: Optical Engineering Volume 39, Issue 9
Show Author Affiliations
Adrian Stern, Ben-Gurion Univ. of the Negev (Israel)
Elad Kempner, Ben-Gurion Univ. of the Negev (Israel)
Avi Shukrun, Ben-Gurion Univ. of the Negev (Israel)
Norman S. Kopeika, Ben-Gurion Univ. of the Negev (Israel)

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