Which Color Differencing Equation Should Be Used?
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International Circular of Graphic Education and Research, No. 6, 2013 science & technology Which color differencing equation should be used? Martin Habekost Keywords: Colour differencing, Color, CIE, Colorimetry, Differencing, Delta E Color differencing equations have been in used for quite some time. In 1976 the CIE released the ΔEab-formula, weighting02_Habekost_Formulas function (kLSL), a chroma weighting function All these equations try to overcome the drawbacks of which is still widely used in industry and in research. This formula has its drawback and a number of other (kCSC), a hue weighting function (kHSH), an interactive the L*a*b-color space by introducing correction terms to color differencing formulas have been issued that try to accommodate how the human observer perceives color term between chroma and hue differences for improv- the non-uniform L*a*b*-color space. differencing in different areas of the color space. Trained and untrained observers in regards to judging color ing the performance for blue colors and a factor (RT) for differences were asked to rank color differences of test colors. In both cases the ΔE2000 formula corresponded * *2 *2 *2 rescalingEab the LCIELab aa*-axis bfor improving performance 2. Application of various ΔE-equations best with the way both groups of observers perceived these color differences. When industry experts were asked for grey colours. to rank perceived color differences without having a standard to compare to the CMC1:1 formula corresponds The CIE was not the only body that released a color In this paper three individual studies have been well with their observations. Although the ΔE2000 is mathematically more complicated than the ΔEab formula differencing equation2 to address2 the shortcomings2 of combined to achieve a better understanding of the the TC130 is mentioning guideline values (not official standard values) for evaluating process colors in the ISO L* C* h* 12646-2 procedure in its latest draft version. This is an indication that the ΔE2000 formula will soon become the theE ΔEab-formula.* In 1984 the CMC (Color Measure- correlation between the ΔE-values that the different 94 standard color differencing equation and replace the ΔEab formula. ment Committee kL SL of the SocietykC SC of Dyes kH SandH Colorists of color differencing equations produce for the differences 02_Habekost_Formulas Great Britain) (Clarke, 1984) also developed an equation between two colors and how the human perception of that is based on the L*C*h*-notation of colors. color differences correlates with these ΔE-values. 1. Introduction This equation takes2 the various2 color sensitivities2 of the human* visualL system intoC consideration H and a ΔE C 2.1 ObservationsH of color differences by untrained 2 2 2 E R * * * * 00 T Color differencing equations have been used for quite forE calculatingab L color adifferences.b The ΔE94-formula of 1.0 under k CMCLSL gives thekC S sameC visual kH SdifferenceH in kallC SC observers kH SH some time. In 1976 the CIE published the first inter- looks as follows: regions of the color-wheel. The ΔEab equation has been widely used in industry nationally endorsed color differencing equation. This The formula looks as follows: and research, but are the other equations being used or 2 formula called ΔEab or ΔE76 deemed a difference or * 2 * * 2 is one more dominantly used and how do the measured * L C h 2 2 2 ΔE of 1.0 to be the smallest difference perceivable by E (1.2) * * * color difference correspond with how observers perceive 94 * L C h the human eye. This formula has been used in many ISO kL SL kC SC kH SH E (1.4) the color differences. CMC procedures such as 12647-2 for process control in the lSL cSC SH The author of this paper conducted a study (Habe- production of halftone color separations, proof and pro- This equation has two sets of coefficients. The k- kost, 2007) with untrained observers. The observers duction prints. This color differencing equation made it coefficients are also2 known as 2parametric factors2 and The SL, SC and SH are the main weighting factors for had to look at 34 different colors and their variations. possible to better communicate color differences under refer* to effects LinfluencingC color-differenceH judgment. C H lightness, chroma and hue. The two factors l and c are The variations had a ΔEab of 2, 5, 5.5 and 7 to the E00 RT standard illuminants and observers. The color notation The S-coefficients kLSL account kC SforC CIELab’s kH lackSH of visual kC SC kH SH constant and are defined by the user and weight the tested color. The color patches were 2x2 cm in size. The used for this equation was the L*a*b*-color space. uniformity (Billmeyer, 2000). importance of lightness and chroma relative to the hue distribution of the tested colors in an a*,b*-plot can be It was soon discovered that this equation had its Although this formula matched closer to the color of the measured color. seen in Figure 1. shortcomings. These shortcomings were, that it was not 02_Habekost_Formulasdifference perception of the human eye it lacked some 2 2 2 taken into consideration that the human eye is more accuracy in the blue-violet* region* of the *color space, L C h sensitive to small colour differences in some regions of which * lead to the release of the ΔE2000 formula in ECMC a*b*- plot * *2 lS *2 *2 cS S the color wheel and less sensitive in others. This means 2000.Eab ThisL formula aL containsb Ca so-called H rotational term that a ΔE of 1.0 could be a small visible difference in for the blue-violet region to address the shortcomings of 70 one area of the visible spectrum (i.e. dark blue colors) the ΔE94 formula. Since this equation has a deficiency 60 2 * 2 * * 2 50 and a large visible difference in another area (i.e. light in the* blue-violet L region C a correctional h or rotational fac- E 40 pastel type colors). tor 94 was added. This corrected formula is known as the kL SL kC SC kH SH The introduction of the L*a*b*-color notation by the ΔE2000 equation (CIE, 2001): 30 20 CIE was done to bring order to the various color nota- 10 2 2 2 tions02_Habekost_Formulas and color differencing equations that were used * L C H C H 0 E R (1.3) b* (CIE, 1986). The ΔEab equations looks as follows: 00 k S k S k S T k S k S -80 -70 -60 -50 -40 -30 -20 -10-10 0 10 20 30 40 50 60 70 80 L L C C H H C C H H -20 -30 2 2 2 * * * * -40 Eab L a b (1.1) It can be seen from this equation that the LCh has 2 2 2 * * * -50 been* transformed L into C L’, C’ andh H’. How the LCh E -60 valuesCMC are transformed into this new notation has been lSL cSC SH -70 The CIE revised the2 formula by introducing2 the2 ΔE94 explained in detail (Sharma G. W., 2005). The ΔE2000 * * * -80 formula* in 1994. L This formula C uses the L*C*h*-notationh formula has five corrections to CIELab: A lightness Figure 1: a*,b*-plot of the E a* 94 tested colors. kL SL kC SC kH SH 2 2 2 20 21 L C H C H * E00 RT kLSL kC SC kH SH kC SC kH SH 2 2 2 L* C* h* E* CMC lSL cSC SH International Circular of Graphic Education and Research, No. 6, 2013 science & technology The 02_Habekost_Graphical_Elementsobservers viewed the color patches in viewing In regards to lightness and chroma ΔE2000 and The L*a*b*-values of the test colours were entered booth with 5000K lighting. The difference between ΔECMC performed almost in a similar fashion, while into a MatLab worksheet and transformed into L*C*h*- the standard and the sample patch could be rated in regards to the hue of the tested colors the ΔECMC- values. These L*C*h*-values were modified in the way into match, slightly different, different, more different equation performed slightly better in the blue region. that color differences using ∆Eab between 2 and 7 and very different. The rankings werea* translated b* -Plot into Basically it can be said that in this study the visual resulted. Modifications were applied to each of the numbers from 5 (= match) to 1 (= very 70different) and a ranking by the untrained observers versus the color dif- three variables individually. For each standard color six ranking scheme was applied to weight60 the responses. A ference numbers resulting from the tested ΔE-equations variations were generated. This means that there were 50 typical ranking can be seen in Table 1. 40 the numbers from the ΔECMC-equation correlate better two variations in regards to Lightness, two in regards to 30 The ΔEab-values were plotted against20 the total num- than those from the ΔE2000 equation. (More details Chroma and two in regards to hue. ber and the R2-value obtained. This was10 done for the about this can be found in Habekost, 2007.) 0 b* b ΔE-values from-80 -70 all -60four -50 equations -40 -30 -20 and -10 -10all 0color 10 samples. 20 30 40 50 60 70 80 2.3 Observations by experienced observers A typical plot can be seen in Figure -202. A set of 14 test colors including neutral colors was -30 2.2. Color patches and trained observers 2 The R -values for these samples for -40the other equa- A similar experiment as mentioned in 3.1 was carried chosen for this test.