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A Composite Spectral Model and Its Applications

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A new spectral representation called the composite model is proposed. Its key point is to decompose all spectra into a smooth background and a collection of spikes. The smooth part can be represented by Fourier coefficients and a spike by its location and height. In this paper, the sufficiency of a low-dimensional representation is shown analytically based on the characteristics of human perception. A re-sampling technique is also proposed to improve performance. The composite model demonstrates advantages in all identified representation criteria including accuracy, compactness, computational efficiency, portability and flexibility. Its applications in areas of realistic image synthesis, image understanding, storage and communication of spectral images, and deriving natural spectra are discussed.
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Document Type: Research Article

Publication date: January 1, 2000

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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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