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Fuzzy Image Sharpening of Historical Prints

Authors: Michael A. Wirth; Dennis Nikitenko;

Fuzzy Image Sharpening of Historical Prints

Abstract

Established methods for sharpening details in images often lead to the magnification of background noise at the expense of detail clarity. This paper applies a method of image sharpening based on fuzzy morphology which is used to enhance historical images. The algorithm is a blend of morphological analysis and fuzzy reasoning, which unlike recognized methods of sharpening such as unsharp masking, does not excessively amplify noise. The algorithm is applied to the task of enhancing acuity in historical photographs, including colour slides.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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