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  2. Bloom (shader effect) - Wikipedia

    en.wikipedia.org/wiki/Bloom_(shader_effect)

    An example of bloom in a picture taken with a camera. Note the blue fringe that is particularly noticeable along the right edge of the window. Bloom (sometimes referred to as light bloom or glow) is a computer graphics effect used in video games, demos, and high-dynamic-range rendering (HDRR) to reproduce an imaging artifact of real-world ...

  3. Display motion blur - Wikipedia

    en.wikipedia.org/wiki/Display_motion_blur

    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.

  4. Smear frame - Wikipedia

    en.wikipedia.org/wiki/Smear_frame

    A sequence of five frames from The Dover Boys at Pimento University.Frames 2–4 are smear frames, those being elongated inbetweens. In animation, a smear frame is a frame used to simulate motion blur.

  5. Pixelization - Wikipedia

    en.wikipedia.org/wiki/Pixelization

    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.

  6. Gaussian blur - Wikipedia

    en.wikipedia.org/wiki/Gaussian_blur

    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.

  7. Unsharp masking - Wikipedia

    en.wikipedia.org/wiki/Unsharp_masking

    For image processing, deconvolution is the process of approximately inverting the process that caused an image to be blurred. Specifically, unsharp masking is a simple linear image operation—a convolution by a kernel that is the Dirac delta minus a gaussian blur kernel.