1. Why is this hard to read

3. Unrelated vs. Related Color Unrelated color: color perceived to belong to an area in isolation (CIE 17.4) Related color: color perceived to belong to an area seen in relation to other colors (CIE 17.4)

4. Illusory contour Shape, as well as color, depends on surround Most neural processing is about differences

5. Illusory contour

6. CS 768 Color Science Perceiving color Describing color Modeling color Measuring color Reproducing color

8. Spectral measurement Measurement p( ) of the power (or energy, which is power x time ) of a light source as a function of wavelength Usually relative to p(560nm) Visible light 380-780 nm

11. Retinal line spread function retinal position relative intensity

12. Linearity additivity of response (superposition) r(m 1 +m 2 )=r(m 1 )+r(m 2 ) scaling (homogeneity) r(  m)=  r(m) r(m 1 (x,y)+m 2 (x,y))= r(m 1 )(x,y)+r(m 2 )(x,y)= (r(m 1 )+r(m 2 ))(x,y) r(  m(x,y))=  r(m)(x,y) retinal intensity monitor intensity

13. Non-linearity

15. http://webvision.med.utah.edu/

16. Ganglion Bipolar Amacrine Rod Cone Epithelium Optic nerve Retinal cross section Light Horizontal

17. Visual pathways Three major stages –Retina –LGN –Visual cortex –Visual cortex is further subdivided http://webvision.med.utah.edu/Color.html

18. Optic nerve 130 million photoreceptors feed 1 million ganglion cells whose output is the optic nerve. Optic nerve feeds the Lateral Geniculate Nucleus approximately 1-1 LGN feeds area V1 of visual cortex in complex ways.

19. Photoreceptors Cones - –respond in high (photopic) light –differing wavelength responses (3 types) –single cones feed retinal ganglion cells so give high spatial resolution but low sensitivity –highest sampling rate at fovea

20. Photoreceptors Rods –respond in low (scotopic) light –none in fovea try to foveate a dim star—it will disappear –one type of spectral response –several hundred feed each ganglion cell so give high sensitivity but low spatial resolution

21. Luminance Light intensity per unit area at the eye Measured in candelas/m 2 (in cd/m 2 ) Typical ambient luminance levels (in cd/m 2 ): –starlight 10 -3 –moonlight 10 -1 –indoor lighting 10 2 –sunlight 10 5 –max intensity of common CRT monitors 10 ^2 From Wandell, Useful Numbers in Vision Science http://white.stanford.edu/~brian/numbers/numbers.html

22. Rods and cones Rods saturate at 100 cd/m 2 so only cones work at high (photopic) light levels All rods have the same spectral sensitivity Low light condition is called scotopic Three cone types differ in spectral sensitivity and somewhat in spatial distribution.

23. Cones L (long wave), M (medium), S (short) –describes sensitivity curves. “Red”, “Green”, “Blue” is a misnomer. See spectral sensitivity.

25. Receptive fields Each neuron in the visual pathway sees a specific part of visual space, called its receptive field Retinal and LGN rf’s are circular, with opponency; Cortical are oriented and sometimes shape specific. - - - - - - -- - + - - On center rfRed-Green LGN rf + + + + + + + + - - - Oriented Cortical rf

27. Channels: Visual Pathways subdivided Channels Magno –Color-blind –Fast time response –High contrast sensitivity –Low spatial resolution Parvo –Color selective –Slow time response –Low contrast sensitivity –High spatial resolution Video coding implications Magno –Separate color from b&w –Need fast contrast changes (60Hz) –Keep fine shading in big areas –(Definition) Parvo –Separate color from b&w –Slow color changes OK (40 hz) –Omit fine shading in small areas –(Definition) (Not obvious yet) pattern detail can be all in b&w channel

29. Trichromacy Helmholtz thought three separate images went forward, R, G, B. Wrong because retinal processing combines them in opponent channels. Hering proposed opponent models, close to right.

30. Opponent Models Three channels leave the retina: –Red-Green (L-M+S = L-(M-S)) –Yellow-Blue(L+M-S) –Achromatic (L+M+S) Note that chromatic channels can have negative response (inhibition). This is difficult to model with light.

31. +- +

34. 100 10 1.0 0.1 0.001 012 Log Spatial Frequency (cpd) Contrast Sensitivity Luminance Red-Green Blue-Yellow

35. Color matching Grassman laws of linearity: (     )(   (   (   Hence for any stimulus s( ) and response r( ), total response is integral of s( ) r( ), taken over all or approximately  s( )r( )

36. Primary lights Test light Bipartite white screen Surround field Test lightPrimary lights Subject Surround light

37. Color Matching Spectra of primary lights s 1 ( ), s 2 ( ), s 3 ( ) Subject’s task: find c 1, c 2, c 3, such that c 1 s 1 ( )+c 2 s 2 ( )+c 3 s 3 ( ) matches test light. Problems (depending on s i ( )) –[c 1,c 2,c 3 ] is not unique (“metamer”) –may require some c i <0 (“negative power”)

38. Color matching What about three monochromatic lights? M( ) = R* R ( ) + G* G ( ) + B* B ( ) Metamers possible good: RGB functions are like cone response bad: Can’t match all visible lights with any triple of monochromatic lights. Need to add some of primaries to the matched light

39. Primary lights Test light Bipartite white screen Surround field Test lightPrimary lights Subject Surround light

40. Color matching Solution: CIE XYZ basis functions

42. Color matching Note Y is V( ) None of these are lights Euclidean distance in RGB and in XYZ is not perceptually useful. Nothing about color appearance