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Spectral Color Reproduction of Paintings

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A spectral-based imaging system was constructed consisting of a two-sequential-absorption-filter-CFA digital camera and a seven-color inkjet printer and used to image and print a post-impressionist style painting such that matches were generated for CIE Illuminants D65 and A. Camera calibration was learning based using the Matrix R method. Rendered images for both illuminants were inputted to a color separation algorithm. First, conventional colorimetric gamut mapping was performed for the designated primary illuminant. Second, each pixel was transformed into a metameric printer gamut, that is, all possible ink combinations matching the primary illuminant. The ink combination with the smallest color difference for the secondary illuminant was selected as the color separation. Prints were prepared for each combination of primary and secondary illuminant and repeated for both CIE standard observers. The method was successful within limits of camera and printer spectral accuracy, ink design, and illuminant and observer metamerism.
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Document Type: Research Article

Publication date: January 1, 2008

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    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 papers for details.

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