DocumentCode
1135063
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
Issue
6
fYear
1977
fDate
6/1/1977 12:00:00 AM
Firstpage
571
Lastpage
580
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.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/TC.1977.1674882
Filename
1674882
Link To Document