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Color images can be converted to black and white on the computer using several methods, including desaturating the existing color RGB image so that no color remains visible (which still allows color channels to be manipulated to alter tones such as darkening a blue sky), or by converting the image to a greyscale version (which eliminates the ...
Color applied to the 1925 film Lights of Old Broadway through the Handschiegl process. Film colorization (American English; or colourisation [British English], or colourization [Canadian English and Oxford English]) is any process that adds color to black-and-white, sepia, or other monochrome moving-picture images.
Here is an example of color channel splitting of a full RGB color image. The column at left shows the isolated color channels in natural colors, while at right there are their grayscale equivalences: Composition of RGB from three grayscale images. The reverse is also possible: to build a full-color image from their separate grayscale channels.
This list of monochrome and RGB palettes includes generic repertoires of colors (color palettes) to produce black-and-white and RGB color pictures by a computer's display hardware. RGB is the most common method to produce colors for displays; so these complete RGB color repertoires have every possible combination of R-G-B triplets within any ...
The 256 available colors would be used to generate a dithered approximation of the original image. Without dithering, the colors in the original image would be quantized to the closest available color, resulting in a displayed image that is a poor representation of the original. The very earliest uses were to reduce images to 1-bit black and white.
Chromatic aberration also affects black-and-white photography. Although there are no colors in the photograph, chromatic aberration will blur the image. It can be reduced by using a narrow-band color filter, or by converting a single color channel to black and white. This will, however, require longer exposure (and change the resulting image).
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