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Additional Material, Journal of Imaging Science - Society for Imaging ...

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Mourad: Improved calibration <strong>of</strong> optical characteristics <strong>of</strong> paper by an adapted paper-MTF model<br />

Figure 9. Calculated optical dot gain curves at medium area coverage<br />

against the screen ruling with respect to two typically used halftone<br />

screens. The plots were predicted using the data <strong>of</strong> the APCO paper.<br />

Figure 11. Comparison <strong>of</strong> our LSF-predictions with normalized measurement<br />

points <strong>of</strong> a different but apparently similar paper type published by<br />

Arney et al. 5 The dots depict Arney’s measurements. The dashes and the<br />

solid line plot the obtained predictions <strong>for</strong> the ColorCopy and the APCO<br />

paper, respectively.<br />

particular the impact <strong>of</strong> the optical dot-gain’s variations<br />

around the commonly used ruling <strong>of</strong> 60 lpcm 150 lpi.<br />

In this region, any slight shift <strong>of</strong> the screen ruling obviously<br />

induces a non-negligible error arising solely from the optical<br />

dot gain.<br />

Figure 10. Calculated optical dot gain curves <strong>for</strong> two different types <strong>of</strong><br />

<strong>of</strong>fice paper plotted against screen ruling. The conventional circular dot<br />

screen was used. The dashes and the solid line plot the obtained predictions<br />

<strong>for</strong> the ColorCopy paper and the APCO paper, respectively.<br />

frequencies (so-called ruling). The type and magnitude <strong>of</strong><br />

the optical dot gain curves shown are close to analyses presented,<br />

e.g., by Gustavson 8 or by Yang [Ref. 41 p. 201], which<br />

apply a simple Gaussian-like function to approach the shape<br />

<strong>of</strong> the paper PSF.<br />

Clearly, <strong>for</strong> calculating the halftone reflectances, the<br />

simplifying assumption underlying Eq. (9) no longer holds<br />

true and the coefficients become spatially dependent. Hence<br />

we numerically evaluate the spatial <strong>for</strong>mula, Eq. (3), by using<br />

the standard inverse two-dimensional fast Fourier trans<strong>for</strong>m<br />

(iFFT). 24 Thereby we sample the coefficients <strong>of</strong> concern<br />

at spatial high resolution frequency grids , with a<br />

sampling frequency exceeding the Nyquist rate <strong>of</strong> the halftone<br />

structures, i.e., the coefficients are filled out at each<br />

x i ,y j according to the simulated binary image Ix i ,y j with<br />

the calibrated values <strong>of</strong> section Calibration Results.<br />

Another application example is given in Figure 9, which<br />

illustrates the influence <strong>of</strong> different types <strong>of</strong> halftone screens<br />

on the magnitude <strong>of</strong> the optical dot gain at medium area<br />

coverage <strong>of</strong> a s =50%. With the proposed simulation, it is<br />

also convenient to explore the effect <strong>of</strong> changing the type <strong>of</strong><br />

paper on the optical dot gain. For the case <strong>of</strong> the conventional<br />

circular dot halftone screen, Figure 10 shows the optical<br />

dot gain prediction <strong>for</strong> the APCO paper compared with<br />

results obtained with a similarly calibrated parameter set <strong>for</strong><br />

the ColorCopy <strong>of</strong>fice paper. 42 These graphs demonstrate in<br />

MODEL COMPARISON AND DISCUSSION<br />

To explore the per<strong>for</strong>mance <strong>of</strong> our microscopic predictions,<br />

we consider results <strong>of</strong> edge-trace measurements published by<br />

Arney et al. 5 For this purpose, we compare our prediction<br />

results with their published data <strong>of</strong> a measured line spread<br />

function (LSF) and the corresponding MTF <strong>of</strong> an <strong>of</strong>fice copy<br />

paper <strong>of</strong> a similar type to those analyzed in our laboratory.<br />

Figure 11 depicts a direct comparison <strong>of</strong> Arney’s measurements<br />

and our prediction <strong>of</strong> a microscopic line edge observation<br />

derived by using Eq. (3). The comparison <strong>of</strong> the<br />

MTF, the normalized modulus <strong>of</strong> the digital Fourier trans<strong>for</strong>m<br />

<strong>of</strong> the same data is illustrated in Figure 12. Both figures<br />

demonstrate good agreement between our predictions and<br />

the microdensitometric measurements. Note that the model<br />

parameters were calibrated using spectral measurements <strong>of</strong><br />

solid patches only.<br />

A further comparison arises from Arney’s discussion <strong>of</strong><br />

the influence <strong>of</strong> Kubelka-Munk’s absorption coefficient K on<br />

Oittinen and Engeldrum’s model. Oittinen, 2 as well as<br />

Engeldrum and Pridham, 1 suggested a simplified relationship<br />

between the Kubelka-Munk theory and the MTF <strong>of</strong><br />

paper. According to their approach, the MTF <strong>of</strong> paper approximates<br />

the vertical derivative <strong>of</strong> the classical KM<br />

function. 3 It depends on the thickness <strong>of</strong> the sample D, the<br />

scattering coefficient S, and the absorption coefficient K.<br />

However, with edge-trace measurements Arney et al. showed<br />

that K has only a small influence on the width <strong>of</strong> the MTF <strong>of</strong><br />

the paper compared to S and D. 4 Figure 13 illustrates this<br />

finding and compares the results <strong>of</strong> our model with those<br />

obtained by Oittinen and Engeldrum’s model. In particular,<br />

the figure plots the scalar measure k p proposed by Arney,<br />

which is equal to the inverse <strong>of</strong> the frequency at which the<br />

normalized MTF loses its half magnitude. The plot demon-<br />

290 J. <strong>Imaging</strong> Sci. Technol. 514/Jul.-Aug. 2007

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