ESTIMATION OF ERRORS IN IMAGE RESTORATION
Abstract
Spatial filtering for image restoration is prone to errors due to mismatch and misalignment of the filter. It is shown that in most of the practical cases, these errors can be reduced by spatial frequency scaling. A general methodology of estimating the errors of restoration due to mismatch of the filter is also developed.
Keywords
Image restoration, Spatial filtering.
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