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In image processing and photography, a color histogram is a representation of the distribution of colors in an image.For digital images, a color histogram represents the number of pixels that have colors in each of a fixed list of color ranges, that span the image's color space, the set of all possible colors.
An image histogram is a type of histogram that acts as a graphical representation of the tonal distribution in a digital image. [1] It plots the number of pixels for each tonal value. By looking at the histogram for a specific image a viewer will be able to judge the entire tonal distribution at a glance.
The typical axes for infrared color–color diagrams have (H–K) on the horizontal axis and (J–H) on the vertical axis (see infrared astronomy for information on band color designations). On a diagram with these axes, stars which fall to the right of the main sequence and the reddening bands drawn are significantly brighter in the K band ...
Free video is used extensively on Wikipedia, and is also the exclusive type of video content stored on the Wikimedia Commons. While Wikipedia allows for the uploading of fair use video (only in Ogg Theora format), the Wikimedia Commons strictly forbids the uploading of fair use video or any video containing depiction of symbols or other content that is prior licensed under a proprietary license.
Color moments are measures that characterise color distribution in an image in the same way that central moments uniquely describe a probability distribution. Color moments are mainly used for color indexing purposes as features in image retrieval applications in order to compare how similar two images are based on color.
The infobox with the name {{Infobox color}} is a table found on Wikipedia articles setting out information about a named color – an example can be found on the right. The pieces of the infobox include: At the top of the infobox is the common name of the color. Below is an optional picture representing the color. For example, a collection of ...
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Color normalization is a topic in computer vision concerned with artificial color vision and object recognition. In general, the distribution of color values in an image depends on the illumination, which may vary depending on lighting conditions, cameras, and other factors.