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Unsharp masking applied to lower part of image. 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 masking allows the photographer to sharpen areas that have become blurred in the original negative, due to long shutter speed/exposure time, or from using a wide aperture/"fast" lens. When creating the unsharp mask, extra space or diffusing material is added between the image and the mask to produce the necessary blur.
The median filter is a non-linear digital filtering technique, often used to remove noise from an image, [1] signal, [2] and video. [3] Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image).
Edge enhancement is an image processing filter that enhances the edge contrast of an image or video in an attempt to improve its acutance (apparent sharpness).. The filter works by identifying sharp edge boundaries in the image, such as the edge between a subject and a background of a contrasting color, and increasing the image contrast in the area immediately around the edge.
Darkroom manipulation is a traditional method of manipulating photographs without the use of computers. Some of the common techniques for darkroom manipulation are dodging, burning, and masking, which though similar conceptually to digital manipulations, involve physical rather than virtual techniques.
The Unsharp Mask tool is considered to give more targeted results for photographs than a normal sharpening filter. [83] [84] The Selective Gaussian Blur tool works in a similar way, except it blurs areas of an image with little detail. GIMP-ML is an extension for machine learning with 15 filters. [85]