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Restoration of images degraded by systems of random impulse response

The problem of restoring an image distorted by a system consisting of a stochastic impulse response in conjuction with additive noise is investigated. The method of constrained least squares is extended to this problem, and leads to the development of a new technique based on the minimization of a weighted error function. Results obtained using the new method are compared with those obtained by constrained least squares, and by the Wiener filter and approximations thereof.
It is found that the new technique, "Weighted Least Squares", gives superior results if the noise in the impulse response is comparable to or greater than the additive noise. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate
Date January 1987
CreatorsRevelant, Ivan L.
PublisherUniversity of British Columbia
Source SetsUniversity of British Columbia
Detected LanguageEnglish
TypeText, Thesis/Dissertation
RightsFor non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use

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