By Sangwine Horn
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Additional resources for Colour Image Processing Handboook
The CIE codified a more complete model in 1997, called CIECAM97s, which is still under active development. The most recent improvements have been proposed as CIECAM02. Other models include RLAB and LLAB (improved CIELAB), Hunt, Nayatani, Guth, and ATG. All but CIECAM02 are discussed in Fairchild’s book. Another body of work in this area more directly addresses image appearance, and the automatic generation of important spatial information from imagery. The S-CIELAB specification created at Stanford by Brian Wandell’s group, and the iCAM work by Fairchild and his students at RIT are examples of this form of image appearance (in contrast to color appearance) model.
These spaces take a distinct form defined with respect to lightness, hue, and colorfulness, rather than the RGB specification defined at the retina. This form has a psychophysical basis; the 22 2 Color Appearance Figure 2. The perceptual organization of color, structured as hue, lightness, and colorfulness. encoding of the cone signals into opponent color channels, which occurs early in the processing of the visual signal. The second part of this chapter discusses factors that affect color appearance.
Vn Vn 116 If Equations for Hue (hab ) and Chroma (Cab ) w W =1/2 b 2 2 hab = arctan = a + b C ab a Figure 4. The mathematics of CIELAB, including the basic equations plus the specification for hue and chroma. 26 2 Color Appearance ratio of tristimulus values becomes very small. This is to avoid the steep slope of the cube root function near zero. The various scale factors are to make the mathematics fit the experimental data used to derive it. CIELAB, like most formula in color psychophysics, is an empirically derived function.