Prediction of Print Defect Perception

Kevin D. Donohue, M. Vijay Venkatesh, Chengwu Cui

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations


This study examines the prediction of print defect perception (banding) of the human visual system (HVS) by combining detection probabilities of contrast components from wavelet and sinusoidal decompositions of defect patterns. Detection probabilities for basis function components are obtained from subjective tests. Prediction performance is presented in terms of the deviation of the contrast thresholds at the 92% detection probability obtained from subjective tests on the simulated print defect patterns. Results from tests run on 21 subjects indicate that prediction errors can be obtained on the order of the subjective test variability used to obtain detection probabilities. While the wavelet approach resulted in less systematic error than the sinusoidal approach, both performed about the same once the systematic error was removed. An advantage of the wavelet approach includes having a framework more conducive for modeling independent visual channels of the HVS and for obtaining efficient orthogonal decomposition of the defect patterns.

Original languageEnglish
Number of pages6
StatePublished - 2003
EventFinal Program and Proceedings of the PICS Conference: The Digital Photography Conference - Rochester, NY, United States
Duration: May 13 2003May 16 2003


ConferenceFinal Program and Proceedings of the PICS Conference: The Digital Photography Conference
Country/TerritoryUnited States
CityRochester, NY

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering


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