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Computer Science 631 Lecture 6: Color
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  1. Computer Science 631Lecture 6: Color Ramin Zabih Computer Science Department CORNELL UNIVERSITY

  2. Outline • The visible spectrum and human color perception • Color cameras • How color is encoded in images

  3. The visible spectrum

  4. Evolution’s camera

  5. Human color perception • There are two kinds of cells in the retina • Rods and cones • What kind of cells are they? • Most retinal cells are in the fovea (center) • Rods sense luminance (black and white) • Concentrated in the fovea, but not exclusively • Cones sense color

  6. Spatial distribution (cross-section)

  7. Rods versus cones • Rods are more tolerant in terms of handling low light conditions • You don’t see color when it’s night • Cones give you better spatial acuity

  8. rods cones Different overall light sensitivity Results in the Purkinje shift: What appears brightest changes as the sun sets!

  9. Green Blue Red Cones come in three flavors

  10. How we see color • It all depends on how much the different cones are stimulated • It is possible to have two different spectra that stimulate cones the same way • Called a metamer • To a person, these colors look the same, but they are (in some sense) completely different

  11. Some colors do not come from a single wavelength • There will never be a purple laser • Purple comes from blue (short wavelength) and red (long wavelength) light • More precisely, the sensation that we call purple comes from the blue and red cones being stimulated • And no others!

  12. Blue cones are “odd”

  13. Non-uniform distribution • Blue cones are least dense in the fovea • 3-5%, versus about 8% elsewhere • Red cones are about 33%, fairly evenly distributed • Green are 64% in the fovea, about 55% elsewhere

  14. Another way to see this

  15. Color constancy • As the spectrum of the illuminating light changes, so does the pattern of cone stimulus • Yet your red coat looks the same as you walk outside! • No one has a good (computational) understanding of this problem

  16. How many colors can we see? • Humans can discriminate about • 200 hues • 20 saturation values • 500 brightness steps • The NBS lists 267 color names • What about across languages? • Seem to be about 11 basic ones • white, black, red, green, yellow, blue, brown, purple, pink, orange, gray

  17. Just noticeable difference These results are for adjacent colors! With a several-second pause, answer is about 12

  18. Additive versus subtractive colors • Paint is colored because of the spectrum it absorbs (subtracts from the incident light) • Red paint absorbs non-red photons • Color filters are another example • Lights have colors because of the spectrum they emit • Televisions and monitors work this way • The two obey different rules!

  19. Subtractive colors

  20. Additive colors Yellow light plus blue light = what?

  21. Cheap versus expensive cameras • Cheap color (video) cameras have a single CCD • Mask in front of the imaging array • Reduces spatial resolution • More expensive cameras have 3 different video cameras • Color output really is 3 different (independent) signals

  22. Different wavelengths, different focal lengths Note: expensive (achromatic) lenses don’t do this

  23. Consequences of different focal lengths • On a single-CCD system, only one color is really in focus • Typically, it’s the green channel • What about the human visual system?

  24. Colorspace • The colorspace is obviously 3-dimensional • Different ways to represent this space • One goal: distance in color space corresponds to human notion of “similar” colors • Perceptually uniform colorspaces are hard! • The obvious solution is to have one dimension per cone type • Additive, using red, green and blue

  25. RGB color space

  26. How to represent a pure color in RGB There’s a BIG problem here…

  27. Another way to think about color • RGB maps nicely onto the way monitors phosphors are designed • Cameras naturally provide something like RGB • 3 different wavelengths • But there is a more natural way to think about color • Hue, saturation, brightness

  28. Hue, saturation and brightness H dominant wavelength S purity % white B luminance

  29. Color wheel (constant brightness) In this view of color, there is a color cone (this is a cross-section)

  30. CIE colorspace

  31. CIE color chart • X+Y+Z is more or less luminosity • Let’s look at the plane X+Y+Z = 1