Dot gain table and developer voltage prediction for the HP Indigo press

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Color consistency is crucial for both photo and commercial printing applications. Dot gain tables are currently updated sporadically, and between updates colors can shift due to process drift in the press. The goal of this investigation is to dynamically control the dot gain table and developer voltage to ensure more consistent color control while minimizing waste and calibration measurements.

In this article we approach the elements of this calibration process as a series of machine-learning problems and investigate the efficacy of replacing physical calibration measurements with model-based predictions. The current state of the machine, expressed as sensor measurements, are used to model both the developer voltage, and the subsequent dot gain look up table. We also consider models that make a prediction based on a restricted set of calibration measurements, not necessarily including the full machine state vector. Our initial investigation using a preliminary dataset shows that machine learning methods are suitable for predicting the dot gain table.

Document Type: Research Article

Publication date: January 1, 2004

More about this publication?
  • For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.

    Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.

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