Masking mediated print defect visibility predictor

Xiaochen Jing; Hila Nachlieli; Doron Shaked; Smadar Shiffman; Jan P. Allebach

doi:10.1117/12.911912

24 January 2012 Masking mediated print defect visibility predictor

Xiaochen Jing, Hila Nachlieli, Doron Shaked, Smadar Shiffman, Jan P. Allebach

Proceedings Volume 8293, Image Quality and System Performance IX; 82930R (2012) https://doi.org/10.1117/12.911912
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

Banding is a well-known artifact produced by printing systems. It usually appears as lines perpendicular to the process direction of the print. Therefore, banding is an important print quality issue which has been analyzed and assessed by many researchers. However, little literature has focused on the study of the masking effect of content for this kind of print quality issue. Compared with other image and print quality research, our work is focused on the print quality of typical documents printed on a digital commercial printing press. In this paper, we propose a Masking Mediated Print Defect Visibility Predictor (MMPDVP) to predict the visibility of defects in the presence of customer content. The parameters of the algorithm are trained from ground-truth images that have been marked by subjects. The MMPDVP could help the press operator decide whether the print quality is acceptable for specific customer requirements. Ultimately, this model can be used to optimize the print-shop workflow.

Citation Download Citation

Xiaochen Jing, Hila Nachlieli, Doron Shaked, Smadar Shiffman, and Jan P. Allebach "Masking mediated print defect visibility predictor", Proc. SPIE 8293, Image Quality and System Performance IX, 82930R (24 January 2012); https://doi.org/10.1117/12.911912

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