Howtosignalprocessing
- How does Unsharp Mask filter work?
- What is unsharp masking in Matlab?
- What is the result of Unsharp Mask?
- Why is it called Unsharp Mask?
How does Unsharp Mask filter work?
The Unsharp Mask increases the image contrast along the edges of objects in a photo. The effect doesn't actually detect edges, but it can identify pixel values that differ from their neighboring pixels by a certain amount.
What is unsharp masking in Matlab?
The unsharp masking technique comes from a publishing industry process in which an image is sharpened by subtracting a blurred (unsharp) version of the image from itself. Do not be confused by the name of this filter: an unsharp filter is an operator used to sharpen an image.
What is the result of Unsharp Mask?
Unsharp masking involves making a somewhat blurry exposure of an original negative onto a new piece of film. When the film is developed, it contains a blurred and inverted-brightness version of the original negative.
Why is it called Unsharp Mask?
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.
