- 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.