Title :
Fast Computational Techniques for Pseudoinverse and Wiener Image Restoration
Author :
Pratt, William K. ; Davarian, Faramarz
Author_Institution :
Department of Electrical Engineering, Image Processing Institute, University of Southern California
fDate :
6/1/1977 12:00:00 AM
Abstract :
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.
Keywords :
Digital image restoration, fast computation technique, image processing, least square estimation, Wiener filtering.; Additive noise; Aerospace electronics; Convolution; Fourier transforms; Image processing; Image restoration; Least squares approximation; Mathematical model; Military computing; Numerical models; Digital image restoration, fast computation technique, image processing, least square estimation, Wiener filtering.;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1977.1674882
