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Spatio-Spectral Image Restoration

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The recovery of spectral reflectances from camera responses is usually composed of several distinct operations. We propose a new approach that connects edge-preserving denoising, deblurring and spectral reconstruction. Each of the steps is based on actual physical properties of the camera system that can be obtained using established methods, and the filter eliminates the need for manual sharpening of the images. Results on both real images and synthetic data show significant improvements over previous methods for spectral reconstruction.
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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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