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Some locations on free, publicly viewable satellite map services have such issues due to having been intentionally digitally obscured or blurred for various reasons of this. [1] For example, Westchester County, New York asked Google to blur potential terrorism targets (such as an amusement park, a beach, and parking lots) from its satellite ...
In some cases, the resolution of an image or a portion of an image is lowered to introduce pixelation deliberately. This effect is commonly used on television news shows to obscure a person's face in order to protect their privacy or to censor nudity or vulgar gestures, and is also used for artistic effect. This effect is called pixelization.
The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest-neighbor interpolation. Other scaling methods below are better at preserving smooth contours in the image.
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.
Free images can be used in any article where their presence would add value. As long as there is a consensus among the editors working on an article that the image is appropriate for the article, it's safe to say that it can remain in an article. Free images can even be modified and used elsewhere. Non-free images, however, are subject to ...
The improvement to image quality is often attractive, since the same validation issues are present even for un-enhanced images. For deconvolution to be effective, all variables in the image scene and capturing device need to be modeled, including aperture , focal length , distance to subject, lens, and media refractive indices and geometries.
Deblurring an image using Wiener deconvolution. Deblurring is the process of removing blurring artifacts from images. Deblurring recovers a sharp image S from a blurred image B, where S is convolved with K (the blur kernel) to generate B. Mathematically, this can be represented as = (where * represents convolution).
Free Lossless Image Format (FLIF) is a lossless image format claiming to outperform PNG, lossless WebP, lossless BPG and lossless JPEG 2000 in terms of compression ratio on a variety of inputs. [ 4 ]