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Color-based maximal GCR for electrophotography

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Abstract:

The underline idea of gray component replacement (GCR) is to replace a mixture of primary colors (cyan, magenta, and yellow) by black. The conventional algorithms of GCR are mainly based on the concept of equal-tone-value-reduction or mixing equal amount (tone value) of primary colors generating gray, which in turn can be represented by the same amount of black. As the inks used are usually non-ideal, such a replacement can result in significant color deviation. In practice, only partial GCR is applied. We proposed an algorithm of maximal GCR based on color matching, i.e. the black is introduced in a way that preserves the color (before and after GCR). In the algorithm, the primary with the smallest tonal value is completely removed while the other two are reduced and the black is added according to the color matching calculations. The algorithm is verified by colormatching computations, for a large number of target colors. It shows that all the target colors can be matched with negligible color deviations (ΔE smaller than unity). Measurements of test prints of 90 colors which cover broad range of C,M,Y compositions, demonstrate an average color deviation ΔE=2.56 that is slightly bigger than the so called just noticeable difference (JND) and significantly smaller than that of the conventional GCR, ΔE=9.75.

Document Type: Research Article

Publication date: January 1, 2006

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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