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Efficient Spectral Imaging based on Imaging Systems with Scene Adaptation Using Tunable Color Pixels

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Conventional spectral imaging systems use a set of pre-determined filters to capture multi-band images. Liquid crystal tunable filters (LCTF) and active illumination allow reconfiguration of spectral sensitivities but these techniques have shortcomings such as latency due to multiple captures and the fact that the same filtering or illumination is applied to the whole frame of the image. There are emerging device technologies that allow independent adjustment of the filtering for each region or even at a pixel level of the imaging frame. The operation of such imaging systems is controlled by adapting to the scene based on scene analysis. Experiments were run by simulating a spectral imaging system which adjusts pixel sensitivities based on color information from the scene. As a result this new system exhibits superior performance compared to traditional spectral imaging systems in terms of color accuracy and imaging capture efficiency.
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Document Type: Research Article

Publication date: 01 January 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, 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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