08.12.2012 Views

Imatest Documentation

Imatest Documentation

Imatest Documentation

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<strong>Imatest</strong> <strong>Documentation</strong><br />

The background of the chart shows expected colors (in monitor sRGB color space) for L* around 0.9. It presents a reasonable<br />

picture of the hues associated with a* and b* (though they shift somewhat with L*). The light gray curve is the boundary of the<br />

color space (sRGB). There is significant scatter in the results because the luminance (L*) of the color patches (not displayed) varies<br />

considerably. This 2-Dimensional figure cannot display L*; a limitation is overcome in Multicharts, which has a rotatable 3D<br />

L*a*b* display. CIELAB (often shortened to LAB) was designed to be perceptually uniform, meaning that the perceived<br />

difference between colors is approximately proportional to the Euclidian distance between them, ∆E*ab (which includes luminance<br />

L*) or ∆C* (color only; omitting L*).<br />

∆E*ab = ( (L2*-L1*) 2 + (a2*-a1*) 2 + (b2*-b1*) 2 ) 1/2 ; ∆C* = ( (a2*-a1*) 2 + (b2*-b1*) 2 ) 1/2<br />

The smallest perceptible difference corresponds roughly to ∆E*ab = ∆C = 1. (Gaurav Sharma uses 2.3 in the Digital Color<br />

Imaging Handbook, p. 31.) CIELAB is far from perfect in this regard. ∆E*ab for the minimum perceptible color difference<br />

increases with chroma (i.e., distance from the origin, (a*i 2 + b*i 2 ) 1/2 . More accurate color difference difference formulas, ∆E*94,<br />

∆E*CMC, and ∆E00, can be selected for display and are included in the CSV and XML output files. If you report any of the more<br />

accurate formulas, remember that they are less familiar than plain old ∆E*ab, so to avoid misunderstanding, be sure to clearly<br />

indicate which formula you are using. Mean values of ∆E*94 are about half of ∆E*ab . Mean values of ∆E*CMC are between<br />

the two. The CIEDE2000 color difference formula, ∆E00, is the emerging standard. It's the most accurate, but it's very complex and<br />

still relatively unfamiliar. It's the best choice in the long run. ∆E*94, ∆E*CMC, and ∆E00 are discussed in the Colorcheck<br />

Appendix.Several values are reported on the upper right of the figure.<br />

Mean camera chroma (%) is the average chroma of camera colors divided by the average chroma of the ideal Colorchecker<br />

colors, expressed as a percentage. The chroma of an individual color is its distance from the origin, C = (ai* 2 +bi* 2 ) 1/2 . Chroma is<br />

often referred to as saturation because more chromatic colors appear to be more saturated. The mean chroma is,<br />

Chroma = 100% mean((a*i_meas 2 + b*i_meas 2 ) 1/2 ) / mean((ai_ideal* 2 + bi_ideal* 2 ) 1/2 ) ;<br />

i_meas denotes measured values of patch i; i_ideal denotes ideal ColorChecker values ;<br />

i ≤ 1 ≤ 18 (the first three rows of the Colorchecker) ; mean(x) = Σxi / n for n = 18 values of x.<br />

Chroma is boosted when Chroma > 100%. Chroma is affected by lens quality (flare light in poor lenses decreases it)<br />

and signal processing. Many cameras and most RAW converters have adjustments for chroma (usually labelled<br />

Saturation).<br />

Chroma is not a strong indicator of image quality because it is often altered during RAW conversion and can be easily<br />

297 of 451

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!