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Spectra From Correlation

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Spectral reflectance is a key material property and contributor to object appearance. While it has long been known that reflectance in a given wavelength interval correlates strongly with reflectances in neighboring ones, this correlative property has only been exploited implicitly before. The present paper therefore presents a new approach to spectral analysis and synthesis that consists of first deriving a spectral correlation profile and then using it for a direct and full sampling of the spectral and color gamuts corresponding to it. The resulting technique can be used to generate natural-like spectra (or spectra following other, specific correlation properties) and it can also be incorporated into Bayesian models of spectral estimation.
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Document Type: Research Article

Publication date: January 1, 2013

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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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