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Usability of Digital Cameras for Verifying Physically Based ...

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(a) (b)<br />

(c)<br />

Figure 52: Histograms <strong>of</strong> L ∗ a ∗ b ∗ differences <strong>for</strong> using the camera’s color space<br />

<strong>for</strong> test cases (a) 8bit, (b) jpg and (c) 16bit.<br />

we made a density plot <strong>of</strong> all values <strong>of</strong> test case one, ordered in the same way as<br />

on the color chart (see figure 53). We can see that L ∗ a ∗ b ∗ differences are generally<br />

low <strong>for</strong> dark patches and greenish patches like the ones in the bottom right corner.<br />

Purple, red, and light blue patches seem to be a problem <strong>for</strong> color measurement.<br />

As we found a tendency <strong>of</strong> certain colors to be reproduced less accurate than<br />

others, we wanted to investigate, whether we can confirm this assumption. We<br />

there<strong>for</strong>e compared measured L ∗ , a ∗ , and b ∗ values to the ones we calculated by<br />

using the Adobe RGB ICC pr<strong>of</strong>ile. Figure 54 shows the according plots. As L ∗<br />

being the lightness <strong>of</strong> a color we can say that <strong>for</strong> high L ∗ values there is a tendency<br />

to underestimation. For a ∗ values, that correspond to the redness and greenness <strong>of</strong><br />

a color we can see no clear color shift, but there is a clear overestimation <strong>for</strong> b ∗ ,<br />

corresponding to the yellowness and blueness <strong>of</strong> a color.<br />

To conclude, we can say that the mean and maximum values <strong>of</strong> all test cases<br />

are quite high and can there<strong>for</strong>e not be considered as accurate measurements.<br />

72

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