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  2. Picsart - Wikipedia

    en.wikipedia.org/wiki/Picsart

    Picsart was founded in November 2011 by Armenian entrepreneur Hovhannes Avoyan, and Armenian programmers Artavazd Mehrabyan and Mikayel Vardanyan. [3] Its founders developed the first Picsart application as a stand-alone tool to help people alter a photo image on their phone, and additional capabilities were added over time. [4]

  3. Fogging (censorship) - Wikipedia

    en.wikipedia.org/wiki/Fogging_(censorship)

    A visual area of a picture or movie is blurred to obscure it from sight. This form of censorship is used for sexually related images/scenes, hiding genitals , pubic hair , buttocks , female nipples / breasts , or sexual activity of any sort.

  4. 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 ...

  5. Shallow focus - Wikipedia

    en.wikipedia.org/wiki/Shallow_focus

    Shallow focus has become more popular in the 2000s and 2010s. It is also a means by which low budget filmmakers use to hide places that would require expensive props.It is often proclaimed by some to being a way to avoid the "video look."

  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. Box blur - Wikipedia

    en.wikipedia.org/wiki/Box_blur

    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.