- published: 15 Jan 2013
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A color space is a specific organization of colors. In combination with physical device profiling, it allows for reproducible representations of color, in both analog and digital representations. A color space may be arbitrary, with particular colors assigned to a set of physical color swatches and corresponding assigned names or numbers such as with the Pantone system, or structured mathematically, as with Adobe RGB or sRGB. A color model is an abstract mathematical model describing the way colors can be represented as tuples of numbers (e.g. triples in RGB or quadruples in CMYK); however, a color model with no associated mapping function to an absolute color space is a more or less arbitrary color system with no connection to any globally understood system of color interpretation. Adding a specific mapping function between a color model and a reference color space establishes within the reference color space a definite "footprint", known as a gamut, and for a given color model this defines a color space. For example, Adobe RGB and sRGB are two different absolute color spaces, both based on the RGB color model. When defining a color space, the usual reference standard is the CIELAB or CIEXYZ color spaces, which were specifically designed to encompass all colors the average human can see.
The CIE 1931 color spaces are the first defined quantitative links between physical pure colors (i.e. wavelengths) in the electromagnetic visible spectrum, and physiological perceived colors in human color vision. The mathematical relationships that define these color spaces are essential tools for color management. They allow one to translate different physical responses to visible radiation in color inks, illuminated displays, and recording devices such as digital cameras into a universal human color vision response. CIE 1931 RGB color space and CIE 1931 XYZ color space were created by the International Commission on Illumination (CIE) in 1931. The CIE XYZ color space was derived from a series of experiments done in the late 1920s by William David Wright and John Guild. Their experimental results were combined into the specification of the CIE RGB color space, from which the CIE XYZ color space was derived.
The human eye with normal vision has three kinds of cone cells, which sense light, with spectral sensitivity peaks in short (S, 420–440 nm), middle (M, 530–540 nm), and long (L, 560–580 nm) wavelengths. These cone cells underlie human color perception under medium- and high-brightness conditions (in very dim light, color vision diminishes, and the low-brightness, monochromatic "night-vision" receptors, called rod cells, take over). Thus, three parameters, corresponding to levels of stimulus of the three types of cone cells, can in principle describe any color sensation. Weighting a total light power spectrum by the individual spectral sensitivities of the three types of cone cells gives three effective stimulus values; these three values make up a tristimulus specification of the objective color of the light spectrum. The three parameters, noted S, M, and L, can be indicated using a 3-dimension space, called LMS color space, which is one of many color spaces which have been devised to help quantify human color vision.
Color (American English) or colour (Commonwealth English) is the visual perceptual property corresponding in humans to the categories called red, blue, yellow, etc. Color derives from the spectrum of light (distribution of light power versus wavelength) interacting in the eye with the spectral sensitivities of the light receptors. Color categories and physical specifications of color are also associated with objects or materials based on their physical properties such as light absorption, reflection, or emission spectra. By defining a color space colors can be identified numerically by their coordinates.
Because perception of color stems from the varying spectral sensitivity of different types of cone cells in the retina to different parts of the spectrum, colors may be defined and quantified by the degree to which they stimulate these cells. These physical or physiological quantifications of color, however, do not fully explain the psychophysical perception of color appearance.
The science of color is sometimes called chromatics, colorimetry, or simply color science. It includes the perception of color by the human eye and brain, the origin of color in materials, color theory in art, and the physics of electromagnetic radiation in the visible range (that is, what we commonly refer to simply as light).
Color vision is the ability of an organism or machine to distinguish objects based on the wavelengths (or frequencies) of the light they reflect, emit, or transmit. Colors can be measured and quantified in various ways; indeed, a person's perception of colors is a subjective process whereby the brain responds to the stimuli that are produced when incoming light reacts with the several types of cone cells in the eye. In essence, different people see the same illuminated object or light source in different ways.
Isaac Newton discovered that white light splits into its component colors when passed through a dispersive prism. Newton also found that he could recombine these colors by passing them through a different prism to make white light.
The characteristic colors are, from long to short wavelengths (and, correspondingly, from low to high frequency), red, orange, yellow, green, cyan, blue, and violet. Sufficient differences in wavelength cause a difference in the perceived hue; the just-noticeable difference in wavelength varies from about 1 nm in the blue-green and yellow wavelengths, to 10 nm and more in the longer red and shorter blue wavelengths. Although the human eye can distinguish up to a few hundred hues, when those pure spectral colors are mixed together or diluted with white light, the number of distinguishable chromaticities can be quite high.
Color Vision 2: Color Matching
CIE RGB Color Space
Visualizing the XYZ Color Space
CIE 1931 color space
Color Space Conversion : sRGB2XYZ with a MATLAB Example
3D Gamut of different color spaces (RGB, XYZ, xyY, Lab and sRGB)
Color tutorial: Understanding color spaces | lynda.com
Lighting A Planted Tank (Advanced Topics): 1931 CIE Diagrams, Radiometry & Photometry.
Tristimulus Color Theory
The Chromaticity Diagram
The science of color is based on Color Matching, the ability to match any color using 3 basic colors, red, green and blue. Results of color matching lead through color space, to a color map called the Chromaticity Diagram. That defines a standard way to specify color, and is very useful for understanding how color works and color vision. Number 2 in series about Color Vision.
This video is part of the Udacity course "Introduction to Computer Vision". Watch the full course at https://www.udacity.com/course/ud810
This presents a three-dimensional visualization of RGB and XYZ colorspaces. The wide-gamut XYZ colorspace, though long appreciated in the color community, is taking on increasing relevance since its adoption as part of the Digital Cinema Standard. Created by Jeremy Selan (Sony Pictures Imageworks). Featured in Siggraph 2005's Electronic Theater. Reproduced with permission of author. All rights reserved.
The CIE 1931 color spaces are the first defined quantitative links between a) physical pure colors (i.e wavelengths) in the electromagnetic Visible spectrum and b) physiological perceived colors in human Color Vision. The mathematical relationships that define these color spaces are essential tools for color management. They allow one to translate different physical responses to visible radiation in color inks, illuminated displays, and recording devices such as digital cameras into a universal human color vision response. CIE 1931 RGB color space and CIE 1931 XYZ color space were created by the International Commission on Illumination (CIE) in 1931. The CIE XYZ color space was derived from a series of experiments done in the late 1920s by William David Wright and John Guild. Their experim...
In this video I have tried so give a simple scenario where someone might need to convert a color from sRGB to CIE 1931 XYZ color space
Color spaces define the range of colors and tones available for a digital file. In this tutorial, explore basic color-space concepts and examine the four primary color spaces. Watch more at http://www.lynda.com/Design-Color-tutorials/Color-Management-Fundamentals/135361-2.html?utm_campaign=KKX08oOTMkk&utm;_medium=viral&utm;_source=youtube. This tutorial is a single movie from the Color Management Fundamentals course presented by lynda.com author Joe Brady. The complete course is 1 hour and 58 minutes and explores the basics of color management for photography, design, and the web, from calibrating your monitor to choosing the best printer and paper for your artwork. Introduction 1. The Basics of Digital Color 2. Why Is Color Workflow So Important? 3. Get the Best Color Possible in Camera 4...
Who wants to get nerdy? Let's talk Photosynthetic Photon Flux , 1931 CIE Diagrams, radiometry and photometry. Let's look at Build My LED... ----------------------------------------------------------------- Build My LED: http://www.buildmyled.com/aquarium/ http://www.techmind.org/colour/ http://docs-hoffmann.de/ciexyz29082000.pdf http://www.efg2.com/Lab/Graphics/Colors/Chromaticity.htm http://hyperphysics.phy-astr.gsu.edu/hbase/vision/cie.html http://www.biyee.net/color-science/cie-chromaticity-diagram/ http://www.coe.montana.edu/ee/jshaw/classes/eosystems/f09/classresources/ee482_f09_radiometryoverview_2pp.pdf http://fp.optics.arizona.edu/Palmer/rpfaq/rpfaq.htm#radiometry http://www.andor.com/learning-academy/radiometry-and-photometry-an-overview-of-the-science-of-measuring-light http:/...
This video is part of the Udacity course "Introduction to Computer Vision". Watch the full course at https://www.udacity.com/course/ud810
How colours are displayed on digital display devices. Produced by http://www.smc468.co.uk/
The science of color is based on Color Matching, the ability to match any color using 3 basic colors, red, green and blue. Results of color matching lead through color space, to a color map called the Chromaticity Diagram. That defines a standard way to specify color, and is very useful for understanding how color works and color vision. Number 2 in series about Color Vision.
This video is part of the Udacity course "Introduction to Computer Vision". Watch the full course at https://www.udacity.com/course/ud810
This presents a three-dimensional visualization of RGB and XYZ colorspaces. The wide-gamut XYZ colorspace, though long appreciated in the color community, is taking on increasing relevance since its adoption as part of the Digital Cinema Standard. Created by Jeremy Selan (Sony Pictures Imageworks). Featured in Siggraph 2005's Electronic Theater. Reproduced with permission of author. All rights reserved.
The CIE 1931 color spaces are the first defined quantitative links between a) physical pure colors (i.e wavelengths) in the electromagnetic Visible spectrum and b) physiological perceived colors in human Color Vision. The mathematical relationships that define these color spaces are essential tools for color management. They allow one to translate different physical responses to visible radiation in color inks, illuminated displays, and recording devices such as digital cameras into a universal human color vision response. CIE 1931 RGB color space and CIE 1931 XYZ color space were created by the International Commission on Illumination (CIE) in 1931. The CIE XYZ color space was derived from a series of experiments done in the late 1920s by William David Wright and John Guild. Their experim...
In this video I have tried so give a simple scenario where someone might need to convert a color from sRGB to CIE 1931 XYZ color space
Color spaces define the range of colors and tones available for a digital file. In this tutorial, explore basic color-space concepts and examine the four primary color spaces. Watch more at http://www.lynda.com/Design-Color-tutorials/Color-Management-Fundamentals/135361-2.html?utm_campaign=KKX08oOTMkk&utm;_medium=viral&utm;_source=youtube. This tutorial is a single movie from the Color Management Fundamentals course presented by lynda.com author Joe Brady. The complete course is 1 hour and 58 minutes and explores the basics of color management for photography, design, and the web, from calibrating your monitor to choosing the best printer and paper for your artwork. Introduction 1. The Basics of Digital Color 2. Why Is Color Workflow So Important? 3. Get the Best Color Possible in Camera 4...
Who wants to get nerdy? Let's talk Photosynthetic Photon Flux , 1931 CIE Diagrams, radiometry and photometry. Let's look at Build My LED... ----------------------------------------------------------------- Build My LED: http://www.buildmyled.com/aquarium/ http://www.techmind.org/colour/ http://docs-hoffmann.de/ciexyz29082000.pdf http://www.efg2.com/Lab/Graphics/Colors/Chromaticity.htm http://hyperphysics.phy-astr.gsu.edu/hbase/vision/cie.html http://www.biyee.net/color-science/cie-chromaticity-diagram/ http://www.coe.montana.edu/ee/jshaw/classes/eosystems/f09/classresources/ee482_f09_radiometryoverview_2pp.pdf http://fp.optics.arizona.edu/Palmer/rpfaq/rpfaq.htm#radiometry http://www.andor.com/learning-academy/radiometry-and-photometry-an-overview-of-the-science-of-measuring-light http:/...
This video is part of the Udacity course "Introduction to Computer Vision". Watch the full course at https://www.udacity.com/course/ud810
How colours are displayed on digital display devices. Produced by http://www.smc468.co.uk/