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ECE 638: Principles of Digital Color Imaging Systems

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Presentation on theme: "ECE 638: Principles of Digital Color Imaging Systems"— Presentation transcript:

1 ECE 638: Principles of Digital Color Imaging Systems
Lecture 13: Uniform Color Spaces

2 Synopsis Nonlinearity of the HVS – Weber’s Law Color Order systems
MacAdam ellipses Requirements for a uniform color space 1976 CIE L*u*v* uniform color space 1976 CIE L*a*b* uniform color space

3 Weber’s Law Weber’s Law: Vision
Stimulus Increment Total Stimulus constant Weber’s Law: Vision Source: D.E. Pearson, Transmission of Pictorial Information Threshold for a difference is ~ Subject adjusts until they see a difference Luminance:

4 Weber’s Law Application
Quantization – space quantization levels non-uniformly as a function of luminance What does Weber’s law suggest: Integrating, we get Suggests that we should quantize L so that levels are farther apart as L increases Equal increments in brightness B correspond to logarithmically spaced increments in luminance L Just perceivable difference in brightness constant

5 Color Order Systems HSV HSL Munsell Color System Pantone System
Colorsystem.com lists 59 different color order systems! All systems share common attributes shown below, but are not uniform, and may not be well-defined in terms of HVS subspace

6 MacAdam Ellipses – Experimental Setup
2) MacAdam Ellipses (1942) Source: W&S pp Addresses “uniformity” test stimulus fixed (same primaries), adjust match stimulus Background Y= 24 cd/m2, chromaticity = CIE Illuminant C Match experiment: hold Y fixed, vary X and Z to move along a straight line in xy. 42°

7 MacAdam Ellipses – Subject Task and Modeling
fixed Subject adjusts color along this line to achieve a match Model data as Gaussian Estimate covariance matrix  parameters of an ellipse Repeat for different values of The contour of the ellipse therefore represents the just noticeable differences of chromaticity.

8 MacAdam ellipses in 1931 CIE xy chromaticity diagram
1942 data from observer PGN Axes of plotted ellipses are 10x their actual length

9 MacAdam Ellipses in 1931 CIE xy Chromaticity Diagram with Colors Shown

10 Desired Properties for a Uniform Color Space
1) Uniformity  MacAdam ellipses should be circular with constant radius through out the color space. 2) Axes should correspond to perceptually relevant parameters (Perceptually relevant parameters should be easily identifiable). 3) There should be a well-defined transformation from a color space that spans the HVS subspace to the uniform color space. 4) The transformation should be invertible.

11 1976 CIE L*u*v* Uniform Color Space
Reflects Weber's Law --- luminance of nominally white stimulus --- are calculated as a function of for nominal white stimulus. Accounts for adaptation

12 Properties of 1976 CIE L*u*v* Space
-- chromaticity of Projective transformation: Perceptual Attributes (correlates) Lightness: Hue: Chroma: Saturation: Distance from white point in (u’,v’) chromaticity diagram

13 Color Difference Formula for 1976 CIE L*u*v* Space
Color difference between & corresponds to a just perceptible difference.

14 MacAdam ellipses in 1976 CIE u*v* chromaticity diagram
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15 Comparision of MacAdam ellipses in xy and u*v* chromaticity diagrams
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16 Farnsworth 1958 transformation of CIE xy chromaticity diagram
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17 1976 CIE L*a*b* Uniform Color Space
valid for Chroma: Saturation: no definition Hue: Opponent Channels

18 Graphical representations of CIE 1976 L*a*b* color space
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19 Color Difference Formula for 1976 CIE L*a*b* Color Space
is the JND (just noticeable difference) For color imaging systems, L*a*b* seems to be preferred.

20 MacAdam Ellipses in the CIE 1976 a*b* diagram


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