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Файл:06 Section 4 Colour appearance models.doc
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- •4 Color appearance models
- •4.1 General requirements for color appearance models
- •4.2 Cielab Model
- •Inverse conversion equations
- •4.3 Cieluv Model
- •Inverse conversion equations
- •4.4 Ciecam02 Model
- •Categorical viewing conditions settings for the model
- •Unique hue data for the calculation of hue quadrature
- •Inverse conversion equations
- •4.5 Modification of ciecam02 by Luo et al.
- •Table 4.1
- •Values of lightness for spectral colours
- •Table 4.2
- •Values of colorfulness for spectral colours
- •Table 4.2 (End)
- •Table 4.3 Values of criterion
- •Table 4.4 (End)
- •Таble 4.7 Values of distance between position of points of monochromatic colors of chromaticity diagram for combined adapting luminance and surround for stimulus luminance, equal 10 cd/m2
- •Table 4.9 Values of distance between position of points of monochromatic colors of chromaticity diagram for stimulus luminance, equal 20 и 200 cd/m2 for stimulus luminance, equal 50 cd/m2
- •Table 4.11 Values of distance between position of points of monochromatic colors of chromaticity diagram for combined adapting luminance and surround for stimulus luminance, equal 50 cd/m2
- •Table 4.12
- •Figure 4.19 ‒ Occurrence of image impairment in dependence of colour deflection levels
- •4.6 High-Luminance Color Appearance Model
- •Inverse model computation:
Inverse model computation:
Compute achromatic white point
of
the target device using equations 4.82 and 4.83.Compute brightness Q from lightness J:
(4.94)
Compute achromatic signal A from lightness J
(4.95)
(4.96)
Compute chroma C from colorfulness M
(4.97)
Compute color opponents a & b from chroma C and hue h
(4.98)
Compute cone signals LMS from the achromatic signal A and opponents a & b
(4.99)
Compute cone signals LMS from nonlinear cone signals
(4.100)
Compute tristimulus from cone signals LMS using the HPE transform.
Apply inverse CIECAT02 transform (using target white).
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