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Gamut Boundary Determination by Sampling an Inverse Printer Model

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In this paper we present a novel method to calculate the gamut boundary of a color printing device using a sparse number of measured values. This method belongs to the SMGBD (Segment Maxima Gamut Boundary Descriptor) family. At first, we construct an inverse printer model based on a set of printed color patches. This model allows us to find the colorant values that have to be sent to the printer in order to obtain a given color appearance, or to show that such a colorant value does not exist. Then we construct a GBD (Gamut Boundary Descriptor) with the measured color patches, using the segment maxima method. After calculating the GBD every segment contains exactly one color value, which might not necessarily be part of the device gamut boundary. Therefore we sample along the line determined by the contained color value and the middle grey value (L, a, b) = (50, 0, 0) for every segment, using a bisection method based on the inverse printer model, and store the printable color value on the line with the largest distance from the middle grey value in the GBD. Due to this approach practical gamut boundaries can be calculated based on a sparse number of measured colors. Measurement results and a comparison with other methods are given in the text.

Document Type: Research Article

Publication date: 2002-01-01

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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