Iterative Restoration of Images with Missing High-Frequency Components Using Adaptive Regularization

Abstract

The problem of restoring the details of bandlimited images of spatial finite extent or recovering the missing high-frequency components has recently been discussed extensively. Since the present problem is ill-conditioned, certain types of regularization techniques are required [1-5]. Moreover, some types of a priori information or constraints are used to overcome the ambiguity and instability of the solution [6-9].