Prediction of the Perceived Quality of Streak Distortions in Offset-Printing with a Psychophysically Motivated Multi-channel Model
by ,
Abstract:
The evaluation of printing machines poses the problem of how distortions like streaks caused by the machine can be detected and assessed automatically. Although luminance variations in prints can be measured quite precisely, the measured functions bear little relevance for the lightness of streaks and other distortions of prints as perceived by human observers. First, the measurements sometimes indicate changes of luminance in regions which are perceived as homogeneous by humans. Second, the measured strength of a distortion correlates often weakly with its perceived strength, which is influenced by a variety of factors, like the shape of a streak's luminance profile and the distribution of luminance variations in its spatial surround. We have used a model of human perception, based on fundamental neurophysiological and psychophysical properties of the visual system, in order to predict the strength of streak distortions as perceived by human observers from a measured luminance signal. For the evaluation of the model, tests with naive and expert observers have been conducted. They showed that the model has a good correlation (>0.8) to the assessments of human observers and is therefore suited for use in an automatic evaluation system.
Reference:
Prediction of the Perceived Quality of Streak Distortions in Offset-Printing with a Psychophysically Motivated Multi-channel Model (K. Gadzicki, C. Zetzsche), In Tagungsband 18.Workshop Farbbildverarbeitung 2012 (P. Urban, M. Goesele, eds.), Fraunhofer Institut für Graphische Datenverarbeitung, 2012.
Bibtex Entry:
@InProceedings{Gadzicki2012,
  author    = {K. Gadzicki and C. Zetzsche},
  title     = {Prediction of the Perceived Quality of Streak Distortions in Offset-Printing with a Psychophysically Motivated Multi-channel Model},
  booktitle = {Tagungsband 18.Workshop Farbbildverarbeitung 2012},
  year      = {2012},
  editor    = {P. Urban and M. Goesele},
  pages     = {119-130},
  address   = {TU Darmstadt},
  month     = {sep},
  publisher = {Fraunhofer Institut für Graphische Datenverarbeitung},
  abstract  = {The evaluation of printing machines poses the problem of how distortions like streaks caused by the machine can be detected and assessed automatically. Although luminance variations in prints can be measured quite precisely, the measured functions bear little relevance for the lightness of streaks and other distortions of prints as perceived by human observers. First, the measurements sometimes indicate changes of luminance in regions which are perceived as homogeneous by humans. Second, the measured strength of a distortion correlates often weakly with its perceived strength, which is influenced by a variety of factors, like the shape of a streak's luminance profile and the distribution of luminance variations in its spatial surround. We have used a model of human perception, based on fundamental neurophysiological and psychophysical properties of the visual system, in order to predict the strength of streak distortions as perceived by human observers from a measured luminance signal. For the evaluation of the model, tests with naive and expert observers have been conducted. They showed that the model has a good correlation (>0.8) to the assessments of human observers and is therefore suited for use in an automatic evaluation system.},
}