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Automatic Selection of Scanner Color Profiles

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We propose an automatic procedure for color scanner profile selection, which greatly improves the color quality of the final scanned images, and also the user experience. By just analyzing a small number of initial rows of the scanned image, our algorithm is capable of distinguishing among the available color profiles, and then it uses the one that better fits with the substrate of the original. The selection can be done “on the fly” with no time penalty for the user, and the color results obtained are improved when compared to a scanner workflow where no color profiles are used

Document Type: Research Article

Publication date: January 1, 2011

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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, and a vibrant interactive papers session. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper presentation.

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