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Ph.D. Course in Digital Halftoning

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Presentation on theme: "Ph.D. Course in Digital Halftoning"— Presentation transcript:

1 Ph.D. Course in Digital Halftoning
Examples of Colorimetric Modeling Methods Lars Bergman, Halmstad University

2 Digital halftoning - Lars Bergman
Papers A Critical Review of Spectral Models Applied to Binary Color Printing The Spectral Modeling of Large Format InkJet Printers Digital halftoning - Lars Bergman

3 Digital halftoning - Lars Bergman
Forward RGB -> CMY(K) Reversed How much CMY(K) for a given RGB Predict the spectral output of the printer Effective dot area Digital halftoning - Lars Bergman

4 Digital halftoning - Lars Bergman
Effective dot area Mechanical dot gain Ink cover larger area on paper then intended Optical dot gain Light spread in paper (and ink) Digital halftoning - Lars Bergman

5 Digital halftoning - Lars Bergman
Typical machanical dot gain for a desktop inkjet printer Digital halftoning - Lars Bergman

6 A Critical Review of Spectral Models Applied to Binary Color Printing

7 Digital halftoning - Lars Bergman
Models Regression based Murray-Davis Neugebauer Yule-Nielsen Yule-Nielsen modified Neugebauer Cellular Neugebauer Yule-Nielsen with spectral depending N-value First principals models (Regressing the Neugebauer Primarys) (Expanded Murray-Davis Model) The Propability model Modeling paper spread function Digital halftoning - Lars Bergman

8 Digital halftoning - Lars Bergman
Murray-Davis Digital halftoning - Lars Bergman

9 Digital halftoning - Lars Bergman
effective area Digital halftoning - Lars Bergman

10 Digital halftoning - Lars Bergman
Neugebauer Digital halftoning - Lars Bergman

11 Digital halftoning - Lars Bergman
Digital halftoning - Lars Bergman

12 Digital halftoning - Lars Bergman
Yule-Nielsen Trys to correct for the non linearity in Murray-Davis model Recomended N=1.7 for offset prints Digital halftoning - Lars Bergman

13 Digital halftoning - Lars Bergman
Digital halftoning - Lars Bergman

14 Yule-Nielsen modified Neugebauer
Combining Yule-Nielsen and Neugebauer Yule-Nielsen is used separate for each color Digital halftoning - Lars Bergman

15 Digital halftoning - Lars Bergman
Cellular Neugebauer Digital halftoning - Lars Bergman

16 Yule-Nielsen with spectral depending N-value
Spectral reflectance for primary cyan ramp Digital halftoning - Lars Bergman

17 Digital halftoning - Lars Bergman
The Propability model Light path Probabilities Digital halftoning - Lars Bergman

18 Digital halftoning - Lars Bergman
Digital halftoning - Lars Bergman

19 Modeling paper spread function
Convolution with LP filter Can handle nonuniform screens/dots Computational heavy Digital halftoning - Lars Bergman

20 Digital halftoning - Lars Bergman
Quality meassure Spectral fitness RMS Spectral error Tristimulus fitness Humanly correct ICC profiles CIE DE Digital halftoning - Lars Bergman

21 Digital halftoning - Lars Bergman
Model performances Digital halftoning - Lars Bergman

22 The Spectral Modeling of Large Format InkJet Printers

23 Digital halftoning - Lars Bergman
Screening Determing the number of colors (ink combinations) Digital halftoning - Lars Bergman

24 Digital halftoning - Lars Bergman
HP650C HP650 use ”Scatter mode” FM-based screening Digital halftoning - Lars Bergman

25 Digital halftoning - Lars Bergman
Testdata Primary ramp CMYRGBK Ramp Test target used to characterize each color types spectral absorptivity. Digital halftoning - Lars Bergman

26 Digital halftoning - Lars Bergman
Meassured spectral rflectance factor data of a cyan ramp Digital halftoning - Lars Bergman

27 Digital halftoning - Lars Bergman
Linear model prediction for 50% cyan using Murray-Davis model Digital halftoning - Lars Bergman

28 Digital halftoning - Lars Bergman
Normalized reflectance factor spectra for cyan ramp data Digital halftoning - Lars Bergman

29 Digital halftoning - Lars Bergman
Normalized reflectance factor spectra for cyan ramp data using Yule-Nielsen-model N=1.7 Digital halftoning - Lars Bergman

30 Digital halftoning - Lars Bergman
Normalized reflectance factor spectra for cyan ramp data using Yule-Nielsen-model N=10 Digital halftoning - Lars Bergman

31 Digital halftoning - Lars Bergman
Linear model prediction for 50% cyan Digital halftoning - Lars Bergman

32 Digital halftoning - Lars Bergman
Normalized absorbtion spectra for cyan ramp data using Kubelka-Munck transparent model Digital halftoning - Lars Bergman

33 Digital halftoning - Lars Bergman
Normalized absorptivities based on eigenvector analyses of eight possible color types. Digital halftoning - Lars Bergman

34 Digital halftoning - Lars Bergman
Method Evaluate halftoning algorithm in order to determine the number of possible colortypes. Hypothesize a color formation model Evaluate how well the hypothesized model predict primary ramps Evaluate secondary and tertiaries ramps Quantify the mechanical dot gain Digital halftoning - Lars Bergman

35 Digital halftoning - Lars Bergman
Experiments Device driver GCR Registration Test target design Printer stability Digital halftoning - Lars Bergman

36 Optimized Yule-Nielsen n value for CMYRGBK
Digital halftoning - Lars Bergman

37 The END


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