- In many applications such as in airborne and terrestrial recon- naissance, 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 vibra- tion 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. © 2000 Society of Photo-Optical Instrumentation Engineers. (S0091-3286(00)03309-2) Subject terms: vibration-blurred images; superresolution; iterative back- projection method; vibrations; image restoration; point spread function; optical transfer function.