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  2. Bokeh - Wikipedia

    en.wikipedia.org/wiki/Bokeh

    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.

  3. 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.

  4. Miniature faking - Wikipedia

    en.wikipedia.org/wiki/Miniature_faking

    Consequently, the foreground and background are often blurred, with the blur increasing with distance above or below the center of the image. In a photograph of a full-size scene, the DoF is considerably greater; in some cases, it is difficult to have much of the scene outside the DoF, even at the lens's maximum aperture.

  5. Blur - Wikipedia

    en.wikipedia.org/wiki/Blur

    Blur, Blurry, Blurring, Blurred or Blurr, may refer to: Optics and images. Bokeh, the aesthetic quality of the out-of-focus parts of an image; Box blur, ...

  6. WhatsApp update will finally let you hide your background - AOL

    www.aol.com/news/whatsapp-finally-let-hide...

    WhatsApp will finally let users hide their backgrounds in a new update. The new software lets people add different backdrops to their video calls, in much the same way as is offered on other ...

  7. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    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.

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