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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.
Boris Continuum Complete is a special effects Plug-in package that works in conjunction with Adobe Creative Suite, including CS6, Avid editing and finishing systems such as: Sony Vegas Pro, and Apple Final Cut Pro.
OBS Studio (also Open Broadcaster Software or OBS, for short) [8] is a free and open-source, cross-platform screencasting and streaming app. It is available for Windows, macOS, Linux distributions, and BSD. The OBS Project raises funds on Open Collective and Patreon. [9] [10]
GIMP implements a bilateral filter in its Filters → Blur tools; and it is called Selective Gaussian Blur. The free G'MIC plugin Repair → Smooth [bilateral] for GIMP adds more control. [7] A simple trick to efficiently implement a bilateral filter is to exploit Poisson-disk subsampling. [1]
LGPL-2.1-or-later: JACK Audio Connection Kit (JACK) JACK Team, Paul Davis: Yes Yes (JACK OS X) Yes (jackdmp) a sound server for integration of general and low-latency pro audio applications, including timebase transport GPL-2.0-or-later LGPL-2.1-or-later: Linux Audio Developers Simple Plugin API (LADSPA) Yes a plugin architecture for digital ...
In Image processing, each element in the matrix represents a pixel attribute such as brightness or color intensity, and the overall effect is called Gaussian blur. The Gaussian filter is non-causal, which means the filter window is symmetric about the origin in the time domain. This makes the Gaussian filter physically unrealizable.
Note that the Laplacian of the Gaussian can be used as a filter to produce a Gaussian blur of the Laplacian of the image because = by standard properties of convolution. The relationship between the difference of Gaussians operator and the Laplacian of the Gaussian operator is explained further in Appendix A in Lindeberg (2015).
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