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The CIE 1924 photopic V(λ) luminosity function, [cie 3] which is included in the CIE 1931 color-matching functions as the y (λ) function, has long been acknowledged to underestimate the contribution of the blue end of the spectrum to perceived luminance. There have been numerous attempts to improve the standard function, to make it more ...
A comparison between a typical normalized M cone's spectral sensitivity and the CIE 1931 luminosity function for a standard observer in photopic vision. In the CIE 1931 model, Y is the luminance, Z is quasi-equal to blue (of CIE RGB), and X is a mix of the three CIE RGB curves chosen to be nonnegative (see § Definition of the CIE XYZ color space).
Photopic (black line) and scotopic [1] (green line) luminosity functions. The photopic includes the CIE 1931 standard (solid), [2] the Judd-Vos 1978 modified data (dashed), [3] and the Sharpe, Stockman, Jagla & Jägle 2005 data (dotted). [4] The horizontal axis is wavelength in nm. Integrating sphere used for measuring the luminous flux of a ...
In modern photometry, the radiant power at each wavelength is weighted by a luminosity function that models human brightness sensitivity. Typically, this weighting function is the photopic sensitivity function, although the scotopic function or other functions may also be applied in the same way. The weightings are standardized by the CIE and ...
The 1931 CIE photopic luminosity function. The horizontal axis is wavelength in nm. The horizontal axis is wavelength in nm. Photopic vision is the vision of the eye under well-lit conditions ( luminance levels from 10 to 10 8 cd/m 2 ).
The CIE 1931 colour space chromaticity diagram with wavelengths in nanometers.The colors depicted depend on the color space of the device on which the image is viewed.. The International Commission on Illumination (usually abbreviated CIE for its French name Commission internationale de l'éclairage) is the international authority on light, illumination, colour, and colour spaces.
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The CIE's most recent model, CIECAM02 (CAM stands for "color appearance model"), is more theoretically sophisticated and computationally complex than earlier models. Its aims are to fix several of the problems with models such as CIELAB and CIELUV, and to explain not only responses in carefully controlled experimental environments, but also to ...