Restoration and resolution enhancement of a single image from a vibration-distorted image sequence

Adrian Stern; Elad Kempner; Avi Shukrun; Norman S. Kopeika

doi:10.1117/1.1288124

1 September 2000 Restoration and resolution enhancement of a single image from a vibration-distorted image sequence

Adrian Stern, Elad Kempner, Avi Shukrun, Norman S. Kopeika

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Optical Engineering, Vol. 39, Issue 9, (September 2000). https://doi.org/10.1117/1.1288124

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.

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Adrian Stern, Elad Kempner, Avi Shukrun, and Norman S. Kopeika "Restoration and resolution enhancement of a single image from a vibration-distorted image sequence," Optical Engineering 39(9), (1 September 2000). https://doi.org/10.1117/1.1288124

Published: 1 September 2000

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