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Pixel-wise illuminant estimation for mixed illuminant scenes based on near-infrared camera information

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Computational color constancy or white balancing methods for digital cameras emulate the ability of the human visual system to adapt to different lighting situations and to maintain color constancy. Global white balancing algorithms have been shown to give remarkable results for scenes illuminated by one light source, but proven less adequate for multi-illumination scenes where multiple light sources are present. Using information from an additional near-infrared channel can be used to estimate the white point at every pixel in the image by comparing the pixels' NRGB values to a multi-dimensional lookup table with precomputed NRGB values. This estimated white point can then be used for white balancing via linearized Bradford transform. The lookup table requires measurement of multiple reflectance and illumination spectra that are representative for an office environment. The method performs better than conventional global white balancing methods.
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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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