Ofer Hadar

In many high resolution photographic and photoelectronic imaging systems, such as in robotics, machine vision, remote sensing, etc. resolution is limited by image motion and vibration and, as a result, the high resolution capability of the sensor may be wasted. In normal reconnaissance and robotics the sensor moves during the exposure. Some of the resulting image motion can be removed by mechanical compensation, but not all of it. The residual motion blurs the imageand usually this blur becomes the limiting factor for many high-quality imaging systems. The ever increasing altitudes and coverage requirements of modem imaging have put a premium on high resolution. An application of this paper is the recovery of the original image by inverse filtering that depends on the modulation transfer function (MiT) of the real time relative motion between the object and the imaging system. An original method developed here for calculating numerically MTF for any type of iniage motion is the basis of the paper.