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Introduction to Color - Brown University

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CS123 | INTRODUCTION TO COMPUTER GRAPHICS<br />

Can characterize visual effect of any spectral distribution by triple (dominant wavelength, excitation<br />

purity, luminance):<br />

Dominant wavelength: hue we see; the spike of energy e2<br />

Excitation purity: “saturation,” ratio of monochromatic light of dominant wavelength <strong>to</strong> white light<br />

Luminance: relates <strong>to</strong> <strong>to</strong>tal energy, proportional <strong>to</strong> intensity distribution ∗ eye ′ s response curve<br />

luminous efficiency function , depends on both e1 and e2.<br />

<br />

<strong>Color</strong>imetry Terms<br />

Note:<br />

<br />

<br />

Energy<br />

Density<br />

e 2<br />

e 1<br />

400<br />

Wavelength,nm 700<br />

dominant wavelength of real distribution may not be one with largest amplitude!<br />

some colors (purple) have no dominant wavelength<br />

Dominant Wavelength<br />

Idealized<br />

uniform<br />

distribution<br />

except for e 2<br />

Andries van Dam<br />

<strong>Color</strong> 43/57

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