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The image looks smooth when zoomed out, but when a small section is viewed more closely, the eye can distinguish individual pixels. Pixelated image of a face In computer graphics , pixelation (also spelled pixellation in British English ) is caused by displaying a bitmap or a section of a bitmap at such a large size that individual pixels ...
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.
Images of the Palestinian territories were restricted as well despite not being explicitly referred to in the ruling. The limit was dropped in July 2020, however, as of 2024, the entire region remains blurred in Google and Apple satellite imagery. [dubious – discuss] This is the largest area subject to this form of restriction. [10
Bokeh, the aesthetic quality of the out-of-focus parts of an image; Box blur, a graphic-art effect; Defocus aberration, blurring of an image due to incorrect focus; Gaussian blur, a graphic-art effect; Motion blur, blurring of an image due to movement of the subject or imaging system
Image credits: nige21202 #42 Took A Picture On Snapchat & The Photo Glitched Out And Now It Looks Like My Cat Is Looking At My Dog From Heaven Image credits: xMethyy
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. Pixelization is a form of fogging.
An example of an image blurred using a 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.
Statistically, images have more low-frequency than high-frequency content, so it is the low-frequency content that remains after quantization, which results in blurry, low-resolution blocks. In the most extreme case only the DC-coefficient, that is the coefficient which represents the average color of a block, is retained, and the transform ...