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Generalized signal averaging
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{{Multiple issues| {{refimprove|date=August 2014}} {{technical|date=October 2009}} }} Within [[signal processing]], in many cases only one [[image]] with [[noise]] is available, and averaging is then realized in a local neighborhood. Results are acceptable if the noise is smaller in size than the smallest objects of interest in the image, but blurring of edges is a serious disadvantage. In the case of smoothing within a single image, one has to assume that there are no changes in the gray levels of the underlying image data. This assumption is clearly violated at locations of image edges, and edge blurring is a direct consequence of violating the assumption.
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