Teaching:TUW - UE InfoVis WS 2009/10 - Gruppe G12 - Aufgabe 1 - Color space: Difference between revisions
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The complexity of all kinds of different color mixtures was substantially simplified in 1931 by Commission Internationale de l'Éclairage CIE, who defined a two-dimensional, horseshoe-like color space, that allows easy definition and description of color mixtures. The edge of the horseshoe includes all the pure spectral colors. The inside region contains the mixtures. | The complexity of all kinds of different color mixtures was substantially simplified in 1931 by Commission Internationale de l'Éclairage CIE, who defined a two-dimensional, horseshoe-like color space, that allows easy definition and description of color mixtures. The edge of the horseshoe includes all the pure spectral colors. The inside region contains the mixtures. | ||
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The human visual perception is too complex to be quantified in a more than approximate manner. One practical approach is to define 2,3 or more spectral colors and create mixed colors by adjusting the relative proportions of the said spectral colors and colorless (i.e. white/black) component,. Or one defines first the mixed color, quantifies first its colorless (brightness/darkness) component and then codes the color information as deviation in the direction of 2, 3 or more spectral colors. Typical examples would be the RGB and YIQ systems respectively. [Miszalok and Smolej, 2001] | The human visual perception is too complex to be quantified in a more than approximate manner. One practical approach is to define 2,3 or more spectral colors and create mixed colors by adjusting the relative proportions of the said spectral colors and colorless (i.e. white/black) component,. Or one defines first the mixed color, quantifies first its colorless (brightness/darkness) component and then codes the color information as deviation in the direction of 2, 3 or more spectral colors. Typical examples would be the RGB and YIQ systems respectively. [Miszalok and Smolej, 2001] | ||
Revision as of 23:08, 5 November 2009
Color
The complexity of all kinds of different color mixtures was substantially simplified in 1931 by Commission Internationale de l'Éclairage CIE, who defined a two-dimensional, horseshoe-like color space, that allows easy definition and description of color mixtures. The edge of the horseshoe includes all the pure spectral colors. The inside region contains the mixtures.
The human visual perception is too complex to be quantified in a more than approximate manner. One practical approach is to define 2,3 or more spectral colors and create mixed colors by adjusting the relative proportions of the said spectral colors and colorless (i.e. white/black) component,. Or one defines first the mixed color, quantifies first its colorless (brightness/darkness) component and then codes the color information as deviation in the direction of 2, 3 or more spectral colors. Typical examples would be the RGB and YIQ systems respectively. [Miszalok and Smolej, 2001]
Color Coding
Models for Color Coding
RGB
The RGB color model is an additive color model, forming its gamut from various mixtures of the primary additive colors red, green and blue. The main idea behind the RGB color model is the human perception of color, furthermore the trichromatic theory which states that there are three types of cones, which are referred to as L, M, and S cones (long, middle and short wavelength sensitivity), approximately sensitive to the red, green and blue region of the visible spectrum.
The main purpose of the RGB color model is the sensing and reproduction of color on electronic devices such as computers, televisions. Typical RGB input devices are color TV and video cameras, image scanners, and digital cameras
CMY
An active image display must fill its dark surface with light, i.e. combine the red, green and blue components into the final colors. When all three primary colors are added in equal proportions, a white color results. A printer creates the colors the opposite way: it must create colors by eliminating - i..e. subtracting - the red, green and blue colors from the white paper background. By subtracting equal proportions of the primary colors a black color can be created. To achieve this one needs Cyan, Magenta and Yellow, colors which are complementary to RGB. The resulting CMY model is a straightforward complement of the RGB-Modell. The conversion from RGB into CMY is given by the following equations: C = 255 - R; M = 255 - G; Y = 255 - B [Miszalok and Smolej, 2001]
YIQ and YUV
In TV broadcasting the color is for all practical purposes an addition to the black and white information, provided by the so-called Y-signal: Y = g1*R+ g2*G + g3*B where g1+g2+g3 = 1.0. Two additional low-bandwidth signal pathways transport the color information in a form of weighted difference between the real signal and the Y component.
YIQ: is used in color TV norm NTSC (America and Japan).
YUV: is used in the PAL colorTV norm (Europe, Africa, Asia except for Japan, Australia) and in digital video. YUV uses similar signals as YIQ (with different weights, however, and using a coordinate system, rotated 33 degrees) but with a higher bandwidth and correspondingly higher quality. [Miszalok and Smolej, 2001]
HSL and HSV
HSL and HSV are color models wich describe the color relationships better than RGB. HSL stands for hue, saturation and lightness while HSV stands for hue, saturation and value. These color models reflect the human color vision better than the RGB, CMY, YUV and YIQ models, which are targeted primarily for hardware applications.
The color space of HSL and HSV can be thought of cylinders. Each point in this cylinder describes a color.
The three coordinates H, L and S of this system can be easily visualized as follows: Pure colors are found at the outer border of a horizontal color circle. The hue can be interpreted as the polar angle, going from red (0 degrees), green (120), blue (240) back to red. The closer to the center of the circle the higher the proportion of the white color. The center of the circle is colorless white. Below this level other color circles are positioned in a cylindrical fashion. The lower they are, the darker they get.
Bibliography
- [Poynton, 1999] Charles Poynton. Frequently Asked Questions about Color. Created at: Dec 30, 1999. http://www.miszalok.de/Lectures/L11_ColorCoding/ColorFAQ.pdf .
- [Sahler, 2005] Sahler Office Interiors & Information Systems. Color Coding. Retrieved at: Nov 3, 2009. http://www.sahler.com/information/record-keeping/color-coding . (Formerly: Oct. 2005, http://www.sahler.com/colorcode.shtml)
- [Miszalok and Smolej, 2001] V. Miszalok, V. Smolej. Color Coding. Jan 13, 2001. http://www.miszalok.de/Lectures/L11_ColorCoding/ColorCoding_english.htm#a1
- [Marko Tkalčič, 2003] Marko Tkalčič. Colour spaces - perceptual, historical and applicational background. 2003,