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    Practical Low‐Cost Recovery of Spectral Power Distributions

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    v35i1pp166-178.pdf (7.370Mb)
    Date
    2016
    Author
    Alvarez‐Cortes, Sara
    Kunkel, Timo
    Masia, Belen
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    Abstract
    Measuring the spectral power distribution of a light source, that is, the emission as a function of wavelength, typically requires the use of spectrophotometers or multi‐spectral cameras. Here, we propose a low‐cost system that enables the recovery of the visible light spectral signature of different types of light sources without requiring highly complex or specialized equipment and using just off‐the‐shelf, widely available components. To do this, a standard Digital Single‐Lens Reflex (DSLR) camera and a diffraction filter are used, sacrificing the spatial dimension for spectral resolution. We present here the image formation model and the calibration process necessary to recover the spectrum, including spectral calibration and amplitude recovery. We also assess the robustness of our method and perform a detailed analysis exploring the parameters influencing its accuracy. Further, we show applications of the system in image processing and rendering.Measuring the spectral power distribution of a light source, that is, the emission as a function of wavelength, typically requires the use of spectrophotometers or multi‐spectral cameras. Here, we propose a low‐cost system that enables the recovery of the visible light spectral signature of different types of light sources without requiring highly complex or specialized equipment and using just off‐the‐shelf, widely available components. To do this, a standard DSLR camera and a diffraction filter are used, sacrificing the spatial dimension for spectral resolution. We present here the image formation model and the calibration process necessary to recover the spectrum, including spectral calibration and amplitude recovery.
    BibTeX
    @article {10.1111:cgf.12717,
    journal = {Computer Graphics Forum},
    title = {{Practical Low‐Cost Recovery of Spectral Power Distributions}},
    author = {Alvarez‐Cortes, Sara and Kunkel, Timo and Masia, Belen},
    year = {2016},
    publisher = {Copyright © 2016 The Eurographics Association and John Wiley & Sons Ltd.},
    DOI = {10.1111/cgf.12717}
    }
    URI
    http://dx.doi.org/10.1111/cgf.12717
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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