Image on paper registration measurement and analysis: determining subsystem contributions from a system level measurement

Rakesh Kulkarni; Abu Islam; Dan Costanza

doi:10.1117/12.810250

19 January 2009 Image on paper registration measurement and analysis: determining subsystem contributions from a system level measurement

Rakesh Kulkarni, Abu Islam, Dan Costanza

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Proceedings Volume 7242, Image Quality and System Performance VI; 72420I (2009) https://doi.org/10.1117/12.810250
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

An important print quality attribute of digital printing equipment deals with the absolute position of the printed image relative to the page. Historically, the most precise method of measuring image to paper (IOP) registration is by scanning a printed sheet on a flatbed scanner. These measurements have been limited to sheets smaller than the full capacity of the printer. In addition, the precision of the measurement has been limited by the accuracy of the scanner itself and the measurement of a few (~4) points on the page have limited the information that can be gathered. The new method proposed in this paper measures IOP registration throughout the sheet in a more precise manner. In a similar fashion, the relative position of the image on both the simplex and duplex side of the print can be determined. In addition, the new method helps link the source of registration errors to individual sub-systems. By generating the individual error sources from a printed sheet enables the understanding of the percentage contribution of each sub-system, prioritizes efforts to obtain better IOP performance, finds initial IOP setup errors of a printing engine, compares different technologies affecting IOP registration in sub-systems and potentially acts as a diagnostic tool for individual sub-systems.

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Rakesh Kulkarni, Abu Islam, and Dan Costanza "Image on paper registration measurement and analysis: determining subsystem contributions from a system level measurement", Proc. SPIE 7242, Image Quality and System Performance VI, 72420I (19 January 2009); https://doi.org/10.1117/12.810250

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KEYWORDS

Image registration

Scanners

Calibration

Error analysis

Printing

Digital imaging

Image quality

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