Color Theory: Defining Brown

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Transcription:

Color Theory: Defining Brown Defining Colors Colors can be defined in many different ways. Computer users are often familiar with colors defined as percentages or amounts of red, green, and blue (RGB). Using varying amounts of just those three colors, a computer user can create orange, or lavender, or any other color of the rainbow. But, those color definitions are only appropriate for colors being displayed on the monitor. Printers must define colors differently and instead rely on cyan, yellow, and magenta (and, in practice, black), or CMY. The printer and monitor use different color definitions, or color models, because The printer uses white paper and paints it with darker inks to form colors, but the monitor adds colored light to a black screen. Because the ink on paper subtracts colors from reflecting light, it s hard to read in the dark. The computer monitor, however, can be read in the dark. In short, a monitor relies on additive color, while the printer relies on subtractive color. Though often quick and effective, these RGB and CMY color definitions don t do a good job of describing the ways we perceive color. Further, they are device dependant and converting between them is impossible without understanding perceived color. Color Theory: Defining Brown Page 1 2002, N. Casey Bisson

Back to the Start: Our eyes perceive a limited range of electromagnetic radiation as visible light. Each wavelength is perceived as a different color. Low-frequency visible light is seen as red, while high-frequency radiation is seen as violet. Violet or purple, as we all remember from art classes is the result of mixing red and blue. Perceptually, the spectrum of visible light loops to form a circle. So, we can define color in wavelengths or, because our spectrum forms a circle, we can define colors as angles on that circle. The angle of a color is its hue, and it is just one of the three components of measuring and defining perceptual colors. Color Theory: Defining Brown Page 2 2002, N. Casey Bisson

The brightness of a color is called its value. Between black and white are many shades of gray, just as between sky blue and navy blue. Each color also has a saturation. Deep red desaturates to salmon, then to unsaturated neutral (white, gray, black). Taken together, hue, saturation, and value define colors in a three dimensional volume. Below are three circles of this theoretical cylinder (actually, a cylinder is a gross simplification, but deal with it). Saturation increases with distance from the center, value increases vertically, and hue are represented by degree. The 0 radial of each circle is shown in detail. The diagram above represents the HSV (hue, saturation, value) model, developed in the 1930s by the Commission Internationale d'eclairage (CIE). 1 The CIE is also responsible for at least two other color models including HLS (hue, lightness, saturation), which is almost identical to the HSV model and similar to Munsell s color solid, and XYZ, a system that may better express the range of visible color at the expense of describing color relationships. 1 Color Spaces. Retrieved June 3, 2002 from the World Wide Web: http://developer.apple.com/techpubs/mac/aci/aci-48.html Color Theory: Defining Brown Page 3 2002, N. Casey Bisson

What does this have to do with brown? Yellow exists as a perceptual anomaly. We commonly define light blue, dark green, and deep red. And, while we can go into any paint store and ask for light yellow, you won t find dark yellow in the color samples. If we plot the 60 radial in two dimensions with saturation on the horizontal and value on the vertical axis, we get this: An analysis of three light brown beverages reveals the following: A. B. C. A. has an average hue of 45, 100% saturation, and 85% value. B. has an average hue of 40, 80% saturation, and 85% value. C. has an average hue of 50, 80% saturation, and 90% value. The numbers show a tendency toward red-orange, but are still very close to yellow s 60 hue angle. The numbers also show small changes in saturation and value affect color. Color Theory: Defining Brown Page 4 2002, N. Casey Bisson

Yeah, whatever. Brown is what happens when I spill all my paints together. Well, you re right. Paints are never as pure as our theoretical colors. Paints, even primaries, are rarely chosen for their true mixing properties. Artists want bright reds, not magenta. Cyan is only really good for painting victims of carbon monoxide poisoning, so most artists buy deeper blues. Even when colors are selected for their mixing properties, as in color printers, engineers are often forced to make trade-offs between color accuracy and vibrancy that customers seem to expect. Yellows are often brighter than prime yellow. When mixed together, the results are often skewed toward brown. When working with light, or additive color, our eyes are often very forgiving. We see yellow where we expect yellow, even when lights are dim. Color perception is subject to all the vagaries of sensory perception. We see a brown dogs and yellow caution lights, even though both may have the same value, saturation, and hue. People who agree with me: http://developer.apple.com/techpubs/mac/aci/aci-48.html http://www.adobe.com/support/techguides/color/colormodels/main.html http://www2.ncsu.edu/scivis/lessons/colormodels/color_models2.html Color Theory: Defining Brown Page 5 2002, N. Casey Bisson