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  2. 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 ...

  3. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    The background image is used as the bottom layer, and the image with parts to be added are placed in a layer above that. Using an image layer mask , all but the parts to be merged is hidden from the layer, giving the impression that these parts have been added to the background layer.

  4. 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.

  5. Depth of field - Wikipedia

    en.wikipedia.org/wiki/Depth_of_field

    A macro photograph showing the defocused effect of a shallow depth of field on a tilted page of text This photo was taken with an aperture of f /22, creating a mostly in-focus background. The same scene as above with an aperture of f /1.8. Notice how much blurrier the background appears in this photo.

  6. How Pamela Anderson made herself the 'hero' of her own ... - AOL

    www.aol.com/news/pamela-anderson-made-herself...

    You get your headshots printed, and and you staple on your resume, you send it to anyone you know, your mom's best friend, doesn't matter. And I sent it to background casting directors too ...

  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.

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