Characterization of '2D noise' print defect

Ki-Youn Lee; Yousun Bang; Heui-Keun Choh

doi:10.1117/12.805791

19 January 2009 Characterization of '2D noise' print defect

Ki-Youn Lee, Yousun Bang, Heui-Keun Choh

Proceedings Volume 7242, Image Quality and System Performance VI; 72420M (2009) https://doi.org/10.1117/12.805791
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

Graininess and mottle described by ISO 13660 standard are two image quality attributes which are widely used to evaluate area uniformity in digital prints. In an engineering aspect, it is convenient to classify and analyze high frequency noise and low frequency noise separately. However, it is continuously reported in previous literature that the ISO methods do not properly correlate with our perception. Since area quality is evaluated by observing all the characteristics with a wide range of spectral frequencies in a printed page, it is almost impossible to differentiate between graininess and mottle separately in our percept. In this paper, we characterize '2D noise' print defect based on psychophysical experiments which appear as two dimensional aperiodic fluctuations in digital prints. For each channel of cyan, magenta, and black, our approach is to use two steps of hybrid filtering to remove invisible image components in the printed area. '2D noise' is computed as the weighted sum of the graininess and mottle, which two weighting factors are determined by subjective evaluation experiment. By conducting psychophysical validation experiments, the strong correlation is obtained between the proposed metric and the perceived scales. The correlation coefficients r2 are 0.90, 0.86, and 0.78 for cyan, magenta and black, respectively.

Citation Download Citation

Ki-Youn Lee, Yousun Bang, and Heui-Keun Choh "Characterization of '2D noise' print defect", Proc. SPIE 7242, Image Quality and System Performance VI, 72420M (19 January 2009); https://doi.org/10.1117/12.805791

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