Page 112 - Computational Colour Science Using MATLAB

IMPLEMENTATIONS AND EXAMPLES 99

xyzr = [94.811 100.00 107.304];
[xyzc] = cmccat97(xyz, xyzt, xyzr, 100.0, 1.0).

The corresponding tristimulus values that result from this computation are
displayed along with test and corresponding values for three other samples in
Table 6.2 which is provided to allow programmers to quickly check the fidelity of
their own implementations of CMCCAT97.

Table 6.2 Data for testing implementations of CMCCAT97. Tristimulus values (XYZ) under
illuminant A are shown for four Munsell surfaces with the corresponding values (X C Y C Z C ) for
illuminant D65 for the 1964 standard observer. The parameters L A and F are fixed at 100 and
1, respectively
X 34.1827 52.1707 11.9082 43.4214
Y 39.2556 35.6248 11.3118 43.2444
Z 14.8082 2.0716 12.0749 4.1055
D 0.9754 0.9754 0.9754 0.9754
p 0.9080 0.9080 0.9080 0.9080
29.7637 40.6782 12.7074 33.2293
X C
40.7096 32.5784 12.2382 42.5732
Y C
43.6411 6.8944 33.4816 11.9849
Z C

Figure 6.4 Relationship of adaptation factor D with luminance of the adapting test field for
CMCCAT97