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Colour separation of n-colour printing process using inverse printer models

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Although the n-colour printing process increases the colour gamut, it presents a challenge in generating colour separations. This paper evaluates different methods of implementing the inverse printer model to obtain the colour separation for n-colour printing processes. The constrained optimisation and the look-up table based inversion methods were evaluated. The colorant space was divided into sectors of 4-inks and the inverse printer models were applied to each sector.

The results were found to be adequate with the mean CIEDE2000 values between the original colours and the model predicted colours below 1.5 for most of the models. The lookup table based inversion was computationally faster than the constrained optimisation approach. The 9-level lookup table model gave accurate prediction without costing the processing time. It can be used to replace spot coloured inks with the 7-colour printing process in packaging printing to achieve significant cost savings.
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Document Type: Research Article

Publication date: November 3, 2014

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  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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