RESTORATION OF ATMOSPHERICALLY BLURRED IMAGES ACCORDING TO WEATHER-PREDICTED ATMOSPHERIC MODULATION TRANSFER-FUNCTIONS

Restoration for actual atmospherically blurred images is performed usi ng an atmospheric Wiener filter that corrects simultaneously for both turbulence and aerosol blur by enhancing the image spectrum primarily at those high frequencies least affected by the jitter or randomness i n a turbulence modulation transfer function (MTF). The correction is b ased on weather-predicted rather than measured atmospheric MTFs. Both turbulence and aerosol MTFs are predicted using meteorological paramet ers measured with standard weather stations at the time and location w here the image was recorded. A variety of weather conditions and seaso ns are considered. Past results have shown good correlation between me asured and predicted atmospheric MTFs. Here, the predicted MTFs are im plemented in actual image restoration and quantitative analysis of the MTF improvement is presented. Corrections are shown also for turbulen ce blur alone, for aerosol blur alone, and for both together. (C) 1997 Society of Photo-Optical Instrumentation Engineers.