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

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

doi:10.1117/12.365836

18 October 1999 Restoration and resolution enhancement of a single image from a vibration-distorted image sequence

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

Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365836
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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 low-frequency vibrated sequence because of high correlation between the frames and inherent interframe motion. However, we show in this work that superresolution algorithms which were developed for general types of blurs 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 found 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", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365836

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KEYWORDS

Image resolution

Image restoration

Image processing

Point spread functions

Image enhancement

Super resolution

Algorithm development

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