The purpose of this dialog is to improve sharpness and edges of the pictures, thus solving focus problems. Many blurred pictures can be dramatically improved by the algorithms provided.
This tab allows you to regulate the precision of details in a picture: you have both the option to increase or decrease sharpness, moving the to the right or to the left.
This correction increases the contrast of those pixels that are near the borders or edges inside a picture, thus making the borders more visible and precise.
This is a progressive technique to increase the sharpness of a picture without increasing background noise, that is the grain of the picture itself. Many simple sharpness tools produce unwanted artefacts and thus ruin the image.
To distinguish between true edges and normal noise (grain), a copy of the picture is heavily blurred using a Gaussian algorithm with a given radius. The unsharp algorithm then uses this copy to decide where to apply a sharpen filter and where not.
The correction has 3 parameters:, and .
Common values for these parameters are:
Example of Unsharp Mask
Note, that in this example the grain of the blurred background is sharpened only minimally, and the effect of distance is thus preserved. Use the Unsharp Mask for delicate sharpness adjustments to otherwise proffessional photographs.
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