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Pixelization (in British English pixelisation) or mosaic processing is any technique used in editing images or video, whereby an image is blurred by displaying part or all of it at a markedly lower resolution. It is primarily used for censorship. The effect is a standard graphics filter, available in all but the most basic bitmap graphics editors.
Many motion blur factors have existed for a long time in film and video (e.g. slow camera shutter speed). The emergence of digital video, and HDTV display technologies, introduced many additional factors that now contribute to motion blur. The following factors are generally the primary or secondary causes of perceived motion blur in video.
The term pixel comes from the phrase picture element. One megapixel is equal to 1,000,000 (one million) pixels. For the most part, the larger number of pixels, the better the quality of the picture. Modulation The process, or results of the process, whereby some characteristic of one signal is varied in accordance with another signal.
Fogging, also known as blurring, is used for censorship or privacy. A visual area of a picture or movie is blurred to obscure it from sight.
Motion blur is often simulated if film or video frames are being rendered. [11] [15] Simulated lens flare and bloom are often added to make the image appear subjectively brighter (although the design of real cameras tries to reduce these effects). [16]: 12.4
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.
Blurring is also permanent and irreversible, according to Google — meaning that you, or anyone else who inhabits your home or business after you, will never be able to unblur it, even in future ...
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.