Abstract

Compensation of image degradations caused by inaccuracies in the optics or sensing mechanism, transmission error, or reflection from spurious objects is commonly referred to as image restoration. Restoration techniques require at least limited information about the degradation phenomenon (e.g., point spread function, characteristics of the noise and the sensing mechanism). These techniques are often based on classical one-dimensional signal processing. An efficient restoration method should use the maximum amount of a priori information about the object.

© 1983 Optical Society of America