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Restoration of images degraded by systems of random impulse response

University of British Columbia

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.

Text

2010-07-21

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http://hdl.handle.net/2429/26731

Electrical and Computer Engineering

University of British Columbia

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