CS Color. Aditi Majumder, CS 112 Slide 1

Transcription

1 CS Color Aditi Majumder, CS 112 Slide 1

2 Visible Light Spectrum Aditi Majumder, CS 112 Slide 2

3 Color is due to.. Selective emission/reflection of different wavelengths by surfaces in the world Different response to different wavelengths of the eye Aditi Majumder, CS 112 Slide 3

4 Illumination I(λ) Aditi Majumder, CS 112 Slide 4

5 Reflectance R(λ) Aditi Majumder, CS 112 Slide 5

6 Color Stimuli C(λ) I(λ) ) x R(λ) ) = C(λ) Aditi Majumder, CS 112 Slide 6

7 Color Mixtures Subtractive Intersection of two spectrums C 1 (λ) and C 2 (λ) In paints C 1 (λ) Power C 2 (λ) Aditi Majumder, CS 112 Wavelength Slide 7

8 Additive Color Mixtures Addition of two spectrums C 1 (λ) and C 2 (λ) In light C 1 (λ) Power C 2 (λ) Aditi Majumder, CS 112 Wavelength Slide 8

9 CIE Functions for Standard Observer Aditi Majumder, CS 112 Slide 9

10 Tristimulus Values Integration over wavelength λ=700 X = C( C(λ)x( )x(λ)) = C(λ)x( )x(λ) λ λ=400 λ=700 Y = C( C(λ)y( )y(λ)) = C(λ)y( )y(λ) λ λ=400 Z = C( C(λ)z( )z(λ)) = C(λ)z( )z(λ) λ λ=700 λ=400 Aditi Majumder, CS 112 Slide 10

11 Tristimulus Values Aditi Majumder, CS 112 Slide 11

12 Metamerism Two different color stimuli can generate same tristimulus values Metamers Evoke same response in the eye Aditi Majumder, CS 112 Slide 12

13 Tristimulus Values XYZ forms a three dimensional space to define color Two colors added by just adding the XYZ coordinates Aditi Majumder, CS 112 Slide 13

14 Tristimulus Values The intensity of x(λ), y(λ) ) and z(λ) combining which would create a metamer of the spectrum Since normalized, it signifies proportions Correct upto a scale factor Aditi Majumder, CS 112 Slide 14

15 How does this space look? Aditi Majumder, CS 112 Slide 15

16 Different Types of Color Monochromatic Laser Achromatic Sunlight (close to) Polychromatic Most common Aditi Majumder, CS 112 Slide 16

17 Properties of Color Intensity Amount of stimulus in cd/m 2 The absolute brightness Governed by the area under the curve Aditi Majumder, CS 112 Slide 17

18 Properties of Color Hue Predominant wavelength Mean Aditi Majumder, CS 112 Slide 18

19 Properties of Color Saturation Amount of Achromatic light Variance from the mean All these three parameters are interrelated. Cannot be changed independently Aditi Majumder, CS 112 Slide 19

20 How to define these using XYZ? Intensity X+Y+Z Luminance Response of the green cones Perceived Brightness Y Hue and Saturation (Chrominance) Using chromaticity coordinates Aditi Majumder, CS 112 Slide 20

21 Chromaticity Chart Relative proportions of X, Y, and Z are more important Achromatic Color Equal proportions of X,Y and Z Chromaticity Chart 2D projection of 3D colors on X+Y+Z = d plane Plot of x and y is the chromaticity chart x = X/(X+Y+Z) y = Y/(X+Y+Z) Aditi Majumder, CS 112 Slide 21

22 Chromaticity Chart Points on a vector originating at zero coincide at the same point (X,Y,Z) and (2X,2Y,2Z) generate same (x,y) Colors on this vector have different intensity but same chrominance Aditi Majumder, CS 112 Slide 22

23 Chromaticity Coordinates Shows all the visible colors Achromatic Colors are at (0.33,0.33) Why? Called white point The saturated colors at the boundary Spectral Colors White Point Aditi Majumder, CS 112 Slide 23

24 Chromaticity Chart Exception is purples Non-spectral region in the boundary All colors on straight line from white point to a boundary has the same spectral hue Dominant wavelength P White Point Aditi Majumder, CS 112 Slide 24

25 Chromaticity Chart What happens here? Complimentary wavelength When mixed generate achromatic color Purity (Saturation) How far shifted towards the spectral color Ratio of a/b Purity =1 implies spectral color with maximum saturation White Point (W) Aditi Majumder, CS 112 Slide 25 B b B P a P

26 How to combine colors? Using XYZ Just add them Using intensity and (x,y) Sum (x,y) weighted by proportions of their intensities to generate new (x,y) Add the intensities to generate new intensity What happens when add two colors of same hue and saturation? Only adds their intensities Aditi Majumder, CS 112 Slide 26

27 Additive Color Generation Take three primary colors Add them in different amounts to generate a color Aditi Majumder, CS 112 Slide 27

28 Additive Color Generation Three primary colors Color generated by adding them in different amounts C=i r.r+i g.g+i b.b Convex linear combination 3D color gamut Aditi Majumder, CS 112 Slide 28

29 2D Color Gamut Projection of 3D gamut on X+Y+Z=d plane It is a triangle on the chromaticity charts Shows reproducible the hue and saturation Aditi Majumder, CS 112 Slide 29

30 Different Devices Differs only in the primaries used Have different spectrums Hence, will need to be combined differently Can be converted to each other by a linear transform 3x3 matrix Conversion between RGB and XYZ RGB is dependent on device (device dependent color space) XYZ depends on eye s response (device independent color space) Aditi Majumder, CS 112 Slide 30

31 Display/Sensor Model Y ( X g,y g,z g ) ( X r,y r,z r ) X ( X b,y b,z b ) X = X r X g X b 0 t r Y = Y r Y g Y b 0 t g Z Z = Z r Z g Z b 0 t b 1 = Aditi Majumder, CS 112 Slide 31

32 Linear Devices [X Y Z 1] T = M [R G B 1] T Two devices [X Y Z 1] T = M 1 [R 1 G 1 B 1 1] T [X Y Z 1] T = M 2 [R 2 G 2 B 2 1] T [R 2 G 2 B 2 1] T = M 2-1 [X Y Z 1] = M 2-1 M 1 [R 1 G 1 B 1 1] T Just like transformation of coordinates Is essentially a transformation of coordinates Aditi Majumder, CS 112 Slide 32

33 Display/Sensor Model Aditi Majumder, CS 112 Slide 33

34 Display/Sensor Model Aditi Majumder, CS 112 Slide 34

35 Gamut Mapping How to handle out of gamut colors? Mapping them to an in-gamut colors Many methods Used when going from devices to devices Monitors to Printers Aditi Majumder, CS 112 Slide 35

36 Gamut Matching Find a common color gamut defined by R c, G c, B c Find the common function M c [X Y Z 1] T = M c [R c G c B c 1] T For any device i [R i G i B i 1] T = M i -1 M c [R c G c B c 1] T Aditi Majumder, CS 112 Slide 36

37 Two gamut Aditi Majumder, CS 112 Slide 37

38 Find their intersection Aditi Majumder, CS 112 Need not be a parallelopipped Slide 38

39 Find the common gamut Aditi Majumder, CS 112 Slide 39

40 Find the mapping function Aditi Majumder, CS 112 Slide 40