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Unsharp masking

Unsharp masking (USM) is an image sharpening technique, first implemented in darkroom photography, but now commonly used in digital image processing software. Its name derives from the fact that the technique uses a blurred, or "unsharp", negative image to create a mask of the original image. The unsharp mask is then combined with the original positive…

Digital unsharp masking, Comparison with deconvolution & Photographic darkroom unsharp masking

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Digital unsharp masking

10 related topics

Comparison with deconvolution

10 related topics

Photographic darkroom unsharp masking

9 related topics

Implementation

1 related topics

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Overview

Photographic darkroom unsharp masking

Digital unsharp masking

Comparison with deconvolution

Implementation

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Unsharp masking

Nodes44
Edges43
Triples33
Avg. degree1.95
Density0.045455
Components1

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Unsharp masking

Top relations

related to Digital unsharp masking · 11
Unsharp masking → Adobe Photoshop, Digital, Gaussian, GIMP, However, If, Lab, RGB, The, Undesired, Unfortunately
related to Comparison with deconvolution · 9
Unsharp masking → Deconvolution, Dirac, For, If, Specifically, Statistically, The, While, With
related to External links · 8
Unsharp masking → Analog Photoshop, Aug, Excel, GuideSharpening, Sample, Unsharp Mask, Unsharp MaskInteractive Example, Unsharp MaskPhotoKit Sharpener User
related to Local contrast enhancement · 3
Unsharp masking → More, Unsharp, USM
is a · 2
Unsharp masking → flexible and powerful way to increase sharpness, simple linear image operation

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Important terminology

image unsharp mask deconvolution masking used original may digital blurred radius values positive contrast amount images edge negative technique processing

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Unsharp maskingis aflexible and powerful way to increase sharpness0.90text
Unsharp maskingis asimple linear image operation0.90text
Unsharp maskingrelated to Comparison with deconvolutionFor0.60section
Unsharp maskingrelated to Comparison with deconvolutionSpecifically0.60section
Unsharp maskingrelated to Comparison with deconvolutionDirac0.60section
Unsharp maskingrelated to Comparison with deconvolutionDeconvolution0.60section
Unsharp maskingrelated to Comparison with deconvolutionWhile0.60section
Unsharp maskingrelated to Comparison with deconvolutionWith0.60section
Unsharp maskingrelated to Comparison with deconvolutionStatistically0.60section
Unsharp maskingrelated to Comparison with deconvolutionIf0.60section
Unsharp maskingrelated to Comparison with deconvolutionThe0.60section
Unsharp maskingrelated to Digital unsharp maskingThe0.60section

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