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An Adaptive Model-based Approach to Reduce Calibration Frequency While Maintaining Tone Consistency for Color Electrophotography

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Abstract:

In electrophotography, color reproduction is susceptible to variations in operating conditions. Calibrations are performed to ensure consistent tone reproduction. The timing of calibration directly impacts color consistency. Calibration consumes time and toner. Frequent calibration is not desirable. It is important to determine appropriate calibration timing to maintain acceptable color consistency while minimizing consumable usage and print job interruption. This paper proposes an adaptive approach that uses a decision tree (DT) to determine calibration timing. In the approach, experiments are designed to collect tone measurements under various operating conditions. Decision trees are developed with these measurements using machine learning algorithms. The resulting DTs can be used to predict tone deviations and determine appropriate calibration action based on changes in operating conditions. Experimental results demonstrate that the proposed approach can reduce the overall calibration frequency by 30.9% while maintaining desired tone consistency.

Document Type: Research Article

Publication date: 2012-01-01

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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