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. Super-resolution 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 that super-resolution 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.
Original language | English |
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Pages (from-to) | 2451-2457 |
Number of pages | 7 |
Journal | Optical Engineering |
Volume | 39 |
Issue number | 9 |
DOIs | |
State | Published - 1 Sep 2000 |
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- General Engineering