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Color quality scale (CQS) is a color rendering score – a quantitative measure of the ability of a light source to reproduce colors of illuminated objects. Developed by researchers at NIST [1] the metric aims to overcome some of the issues inherent in the widely used color rendering index (CIE Ra, 1974). [2] [3]
Davis & Ohno (2006) identify several other issues, which they address in their color quality scale (CQS): The color space in which the color distance is calculated (CIEUVW) is obsolete and nonuniform. Use CIELAB or CIELUV instead. The chromatic adaptation transform used (Von Kries transform) is inadequate. Use CMCCAT2000 or CIECAT02 instead.
Download as PDF; Printable version; In other projects ... Pages in category "Color scales" ... APHA color; C. Choropleth map; Color quality scale; Color triangle ...
Color constancy is, in turn, related to chromatic adaptation. Conceptually, color balancing consists of two steps: first, determining the illuminant under which an image was captured; and second, scaling the components (e.g., R, G, and B) of the image or otherwise transforming the components so they conform to the viewing illuminant.
It includes 24 patches in a 4 × 6 grid, each slightly under 2 inches (5.1 cm) square, made of matte paint applied to smooth paper, and surrounded by a black border. Six of the patches form a uniform gray lightness scale, and another six are primary colors typical of chemical photographic processes – red, green, blue, cyan, magenta, and yellow.
The spectral similarity index (SSI) of 2016 is a scale that completely forgoes the comparison of color samples, instead directly comparing the SPDs of one light source to the reference. [4] Its developers argue that difference among cameras mean that TLCI can only describe three-chip television cameras, not the more-varied spectral ...
In 1927, the German group Reichs-Ausschuß für Lieferbedingungen (Imperial Committee for Delivery and Quality Assurance) invented a collection of forty colours under the name of "RAL 840". [2] Prior to that date, manufacturers and customers had to exchange samples to describe a tint , whereas from then on they would rely on numbers.
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.