TL;DR: An encyclopedic survey of color science can be found in this article, which includes details of light sources, color filters, physical detectors of radiant energy, and the working concepts in color matching, discrimination, and adaptation.
Abstract: An encyclopedic work which collects into a ready-reference volume the concepts, methods, quantitative data and formulas on color science. Includes details of light sources, color filters, physical detectors of radiant energy, and the working concepts in color matching, discrimination, and adaptation. For the colorimetrist, research worker, physicist, physiologist and psychologist concerned with color problems in industry. Tables; diagrams; ten-page bibliography. First author is head, radiation optics section, National Research Council, Canada. Contents, abridged: Basic radiometric concepts and units. Optical filters. Physical detectors of radiant energy. Parts of the human eye: nomenclature; dimensions. Factors in the eye that control the internal stimulus. The Troland values of retinal illuminance. Light losses in the eye. Quantum fluctuations and visual stimuli. Conversion factors related to the eye. Trichromatic generalization. The CIE colorimetric system. Complementary colors. Object colors, object. color solid, optimal colors. Counting metameric object colors. Degree of metamerism. Propagation of spectrophotometric errors. The photometric principle. Preamble. Factors modifying matching. Chromatic adaptation. Lightness scales. Combined lightness and chromaticness scales. Discrimination data under special conditions. Color reversal at long wavelengths: Brindley isochromes. Abney and Bezold-Brucke effects. Dark adaptation and absolute thresholds. Uniform equivalent fields (equivalent background luminance). Visual response curves: their comparison with the spectral properties of pigments. References. Author index. Subject index. -- AATA
TL;DR: The Universal Color Language (UCL) has been revised and will be published together with the 7th printing of the Color Names Dictionary, serving as the means of updating the Dictionary.
Abstract: The Universal Color Language (UCL) has been revised and will be published together with the 7th printing of the Color Names Dictionary. It serves as the means of updating the Dictionary. The UCL brings together all the well known color-order systems and methods of designating color. It interrelates them in six correlated levels of fineness of color designation, each higher level indicating a finer division of the color solid. It follows closely the original requirements for the ISCC-NBS Method of Designating Colors stated in the Color Names Dictionary. They were: a) accurate enough to satisfy a scientist, b) usable enough to satisfy a manufacturer and c) simple enough to be understood by the average person on the street. The first requirement is satisfied by levels 6 and 5, the second by levels 5, 4, and 3, and the third by levels 3, 2, and 1. The UCL is being increasingly used by science, education, art and industry. Instructions are included for the application of the UCL at each level. -- AATA
TL;DR: A multizone color model is described, which has nonlinear receptor gain control, two postreceptor opponent-colors processing stages, and neural compression late in the visual pathway.
Abstract: A multizone color model is described. It has nonlinear receptor gain control, two postreceptor opponent-colors processing stages, and neural compression late in the visual pathway. It is assumed that gain control can be activated by receptor responses from a test light itself (self-adaptation) and (or) by receptor responses from other adapting fields. Apparent brightnesses and visual discriminations are mediated by the first processing stage, and apparent hues and saturations are mediated by the second stage. The model accounts for a wide range of data, including nonlinear hue shifts in the color solid, various apparent brightness effects, visual discriminations for achromatic and chromatic lights under various adaptation conditions, and effects of chromatic adaptation on color appearances.
TL;DR: In this article, the RGB image data are converted into the luminance Y and the chromaticity values C1, C2, then a highlight point and a shadow point are determined and are connected to define the axis of the color solid.
Abstract: Correction for color fog is securely achieved with limited load of processing. The RGB image data are converted into the luminance Y and the chromaticity values C1, C2, then a highlight point and a shadow point are determined and are connected to define the axis of the color solid. The color solid is rotated so as that the axis becomes parallel to the luminance axis Y and is so translated in parallel manner that the pixel of the minimum luminance coincides with the original point of the color space.