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Evaluating Systematic Print Mottle

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Printed under very stringent conditions with a high-quality inkjet printer. ... Conventional Prints: Print Quality. Comparison with alternative Instrument: ... – PowerPoint PPT presentation

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Title: Evaluating Systematic Print Mottle


1
Evaluating Systematic Print Mottle
  • Carl-Magnus Fahlcrantz
  • _at_ the 11th IPGAC,
  • Bordeaux, France, October 1-3, 2002

2
Print Mottle
  • Inhomogeneities in the Print due to Reflectance
    Variations.

3
Systematic Print Mottle
  • Disturbances in the print that are experienced
    ordered in some sense.
  • Occurrence Contemporary Interest
  • Digital Printing seems to produce more systematic
    noise than traditional printing methods.

4
Human Visual System A Briefing Contrast
Sensitivity Detection of Structure
  • Contrast Sensitivity
  • Different perceptibility to noise of different
    sizes.
  • Detection of Structure
  • Evolution made the Human Visual System
    hyper-sensitive to ordered structures in the
    visual field.

5
Perceiving Mottle An Overview
  • Implications
  • Evaluation instruments that only considers the
    variation in the print, and not the dominating
    size and the order/structure of the noise,
    underestimate the impact of the mottle on Print
    Quality.

6
Instrumental Mottle Evaluation An Overview of
the Main Idea
4.Estimate Image Noise
1.Scanned Image
2.Filter Image to compensate for Contrast
Sensitivity
3.Filter Image to compensate for Order/Structure
7
Component One Amount of Variation
  • Spatial or Frequency Domain?
  • Psychophysical Evidence Eye - Frequency Analysis
  • Convenient way of doing filtering operations.
  • Frequency Domain - Natural Choice.
  • Use Energy in FFT Power Spectrum to estimate the
    Variation in the print for different
  • Wavelengths
  • Orientations

FFT Power Spectrum
8
Component Two Contrast Sensitivity
  • Filter the Power Spectrum so that it corresponds
    to the variation detected by the eye.
  • Mathematical Approximation available (Barten,
    1999, among others).
  • ? Geye(u)

9
Component Three Texture Detection
  • Estimation of the order/structure Gain
  • Calculate the 2ND Moment locally in the spectrum,
    (Jernigan dAstous, 1984 Nguyen Jordan,
    1989, among others)
  • Filter the Spectrum so that the energy in areas
    with a large 2ND Moment (or Chi Square Measure)
    is enhanced.

? Gtexture (Weighted Normalized Chi Square
Measure)
10
Integration
  • Sum up all the filtered energy in the Spectrum
    that falls within the visual area.
  • ? Single estimate of the Perceived Mottle in the
    Print!

11
Testing the Model using two Sets of Samples
  • Digitally Simulated Set
  • 12 grayscale samples showing various degrees of
    Systematic Mottle.
  • Printed under very stringent conditions with a
    high-quality inkjet printer.
  • ? Test the theory with a Challenging Evaluation.
  • Set of Sample from Conventional Presses
  • 40 samples (K40) from 7 different presses,
    including
  • Offset
  • Flexography
  • Digital Liquid Toner
  • Dry Toner presses
  • ? Test Practical Applicability.

12
Visual and Alternative Evaluation
  • Visual Evaluation
  • Simulated Samles Print Mottle Level
  • Conventional Prints Print Quality
  • Comparison with alternative Instrument
  • Traditional STFI Print mottle Evaluation by
    band-pass (1-8 mm) image analysis method
    (Johansson, 1993)
  • Very good agreement between measured stochastic
    mottle and Visual Print Mottle Evaluation.
  • However Do not care for Contrast Sensitivity
    Order/Structure.

13
Results Simulated Test Set
R 0.10
R 0.97
14
Results Conventional Prints
R 0.90
R 0.75
R 0.80
R 0.26
15
Conclusions
  • The results from both evaluations suggests that
    the new model outperforms the traditional model.
  • ? Potential candidate for the Evaluation of Print
    Mottle.
  • The performance difference, as predicted,
    especially clear when mottle is ordered.
  • ? Very potential candidate if the prints show
    Systematic Print Mottle.

16
Acknowledgements
  • I would like to thank the following organisation
    and persons for their part in this project
  • S2P2 Digital Printing Research Program
  • Siv Lindberg
  • Don Donderi
  • Per-Åke Johansson

Carl-Magnus Fahlcrantz, cmf_at_stfi.se
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