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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 ...
A box blur (also known as a box linear filter) is a spatial domain linear filter in which each pixel in the resulting image has a value equal to the average value of its neighboring pixels in the input image. It is a form of low-pass ("blurring") filter. A 3 by 3 box blur ("radius 1") can be written as matrix
A drawback of pixelization is that any differences between the large pixels can be exploited in moving images to reconstruct the original, unpixelized image; [3] squinting at a pixelized, moving image can sometimes achieve a similar result. In both cases, integration of the large pixels over time allows smaller, more accurate pixels to be ...
Lightroom is non-destructive editing software that keeps the original image separate from its edits, saving the edited image as a new file. While Photoshop includes doctoring functions like adding, removing or altering the appearance of individual image items, rendering text or 3D objects on images, or modifying individual video frames, Lightroom is a library and development software.
Fit to window, zoom, print, full-screen, slideshow, image collection, image information... Rotate, flip, save as, used for reading comics and manga. Proprietary: Darktable: Lighttable (contact sheet), darkroom (image editing), map, tethering Non-destructive RAW photo editing (like Adobe Lightroom) as well as common image formats GPL-3.0-or ...
The difference between a small and large Gaussian blur. In image processing, a Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function (named after mathematician and scientist Carl Friedrich Gauss). It is a widely used effect in graphics software, typically to reduce image noise and reduce detail.
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