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Basics of image editing. Raster images are stored in a computer in the form of a grid of picture elements, or pixels. These pixels contain the image's color and brightness information. Image editors can change the pixels to enhance the image in many ways. The pixels can be changed as a group, or individually, by the sophisticated algorithms ...
Noise reduction is the process of removing noise from a signal. Noise reduction techniques exist for audio and images. Noise reduction algorithms may distort the signal to some degree. Noise rejection is the ability of a circuit to isolate an undesired signal component from the desired signal component, as with common-mode rejection ratio .
Most raster graphics editors will let you convert from true-color mode (also called "full color" or "RGB"), and let you decide the number of colors you want in the resulting indexed image. How many colors you choose will depend upon the image—it must be fewer than 256, but often 16 or even fewer will work well.
Removal of non-free images. The ninth item of Wikipedia’s policy for non-free content states that non-free images should only be used in the article namespace (not disambiguation pages), and goes further into the underlying reasons for the policy.
Image noise is random variation of brightness or color information in images, and is usually an aspect of electronic noise. It can be produced by the image sensor and circuitry of a scanner or digital camera. Image noise can also originate in film grain and in the unavoidable shot noise of an ideal photon detector. Image noise is an undesirable by-product of image capture that obscures the ...
In information architecture, irrelevant, duplicate or incorrect information may be called background noise. In physics and telecommunication, background signal noise can be detrimental or in some cases beneficial. The study of avoiding, reducing or using signal noise is information theory .