Digital Restoration of Atmospherically Degraded Images by Using Optimum Filter Theory

Abstract

This paper describes the digital image restoration of atmospherically degraded images.
By using the computer simulation technique, the influences upon the image restoration of the decision error of the parameter determining the point spread function due to air-turbulence and of the gradient of the H-D curve of the film used to record the degraded image have been investigated.
The final results clearly prove the usefulness and advantage of the method of least squares in handling atmospherically degraded images.