Fast Computational Techniques for Pseudoinverse and Wiener Image Restoration

New computational techniques for pseudoinverse and Wiener image restoration are presented. These techniques are based upon the modification of an observed image array so that the numerical model for the image blur contains a circulant matrix blur operator. Utilization of Fourier transform processing techniques then permits scalar computation, as contrasted to vector computation required for standard processing. Several image restoration examples are given.