A Wiener filter-based deconvolution algorithm is developed to restore vibra
tion-degraded video imagery from an intensified CCD camera. The method is b
ased on the use of azimuth and elevation angular optical line-of-sight data
recorded from external sensors to estimate a two-dimensional vibration-blu
r impulse response on a per frame basis. Flight conditions are reproduced i
n the laboratory by use of prerecorded in-fight vibration data. The perform
ance of the algorithm varies from frame to frame, following the time-varyin
g characteristics of the vibration-blur impulse response. However, real-tim
e display of the restored video minimizes these effects because of eye inte
gration, and near-full restoration of the original uncorrupted imagery is o
bserved for both high-light- and low-light-level conditions with minimal am
plification of noise. (C) 1999 Optical Society of America.