Calibration Color Patch Reduction for Electrophotography

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Abstract:

This paper presents results of reducing color patches printed during a calibration using a variable selection approach for color electrophotography (EP). During a calibration, primary color patches at different halftone levels are printed on a belt and measured using on-board sensors. Regression models are used to predict primary color tone values on output media from these onboard sensor measurements. Then necessary adjustments using tone correction or other control variables can be applied to compensate tone deviation. Laying down and measuring color patches consumes time and toner. It is desired to determine a minimal set of color patches for the regression models while ensuring their prediction accuracy. This work proposes a procedure that reduces color patches in regression model development. The procedure applies variable selection algorithms to identify the appropriate number of color patches and their associated halftone levels. Results demonstrate that the proposed method can use 45% fewer color patches for the regression models while maintaining prediction accuracy effectively the same as that of models using all the available color patches.

Document Type: Research Article

Publication date: January 1, 2011

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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