RESTORATION OF BLURRED IMAGES

Physical imaging systems are always subject to point and spatial degradation effects and corrupted by deterministic and stochastic disturbances. Sources of degradation include sensor/film non-linearities, diffraction in the optical systems, aberrations, atmspheric turbulence effects and blur. Noise disturbances may be caused by electronic imaging sensors, film granularity and channel transmission. Accurate and precise image modelling is the key to successful and efficient restoration. Suppose a single image is available and this e g e is then used to develop parameters to descrlbe the imaging system, apsteriori knowledge is then required to determine the point spread function and the noise source(s).