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  2. 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. Thus a difference in ...

  3. Bokeh - Wikipedia

    en.wikipedia.org/wiki/Bokeh

    The term comes from the Japanese word boke (暈け/ボケ), which means "blur" or "haze", resulting in boke-aji (ボケ味), the "blur quality".This is derived as a noun form of the verb bokeru, which is written in several ways, [7] with additional meanings and nuances: 暈ける refers to being blurry, hazy or out-of-focus, whereas the 惚ける and 呆ける spellings refer to being mentally ...

  4. 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.

  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;

  6. Stereoscopy - Wikipedia

    en.wikipedia.org/wiki/Stereoscopy

    Stereoscopy creates the impression of three-dimensional depth from a pair of two-dimensional images. [5] Human vision, including the perception of depth, is a complex process, which only begins with the acquisition of visual information taken in through the eyes; much processing ensues within the brain, as it strives to make sense of the raw information.

  7. 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.