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Colour Printer Characterization by Regression with Greyspace Constraint

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The White-Point Preserving Least Squares (WPPLS) algorithm is a method for colour correction that constrains the white point to be exactly mapped into its correct XYZ equivalent. For printers, however, the mapping is from device coordinates to colorimetric densities: the devicewhite is thus mapped into a zero vector and the WPPLS method cannot go forward. Here we use a polynomial regression model and specify that both white (the zero vector) and an average grey be exactly mapped. Moreover we extend the method to accurately but approximately map a subspace of the entire achromatic curve, thus reproducing the neutral tones with far greater accuracy.
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Document Type: Research Article

Publication date: January 1, 1998

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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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