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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.
From left to right: an original photo with no bokeh or blur; the same photo with synthetic bokeh effect applied to its background; the same photo with Gaussian blur applied to its background Bokeh can be simulated by convolving the image with a kernel that corresponds to the image of an out-of-focus point source taken with a real camera.
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
In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more.This is accomplished by doing a convolution between the kernel and an image.
Bokeh, the aesthetic quality of the out-of-focus parts of an image; Box blur, a graphic-art effect; Defocus aberration, blurring of an image due to incorrect focus; Gaussian blur, a graphic-art effect; Motion blur, blurring of an image due to movement of the subject or imaging system
As other raster graphics editors, Corel Photo-Paint allows an image to be edited in multiple layers, called objects here. A gradient line going from opaque to transparent, for instance, can be used to have a darker foreground color fade into a lighter background color.