Relating Statistical Image Differences and Degradation Features

  • Elisa Barney Smith
  • Xiaohui Qiu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2423)


Document images are degraded through bilevel processes such as scanning, printing, and photocopying. The resulting image degradations can be categorized based either on observable degradation features or on degradation model parameters. The degradation features can be related mathematically to model parameters. In this paper we statistically compare pairs of populations of degraded character images created with different model parameters. The changes in the probability that the characters are from different populations when the model parameters vary correlate with the relationship between observable degradation features and the model parameters. The paper also shows which features have the largest impact on the image.


Point Spread Function Document Image Degradation Model Image Degradation Degradation Feature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Elisa Barney Smith
    • 1
  • Xiaohui Qiu
    • 2
  1. 1.Boise State UniversityBoiseUSA
  2. 2.Nanjing University of Post and TelecommunicationChina

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