Practical Low-Cost Recovery of Spectral Power Distributions
Sara Alvarez-Cortes, Timo Kunkel, Belen Masia
In Computer Graphics Forum, 35(1), 2016.
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.
Keyword(s): computational photography, image and video processing, I.4.1 [Image Processing and Computer Vision]: Digitization and Image Capture Radiometry
Article URL: http://dx.doi.org/10.1111/cgf.12717
BibTeX format:
@article{CGF:CGF12717,
  author = {Sara Alvarez-Cortes and Timo Kunkel and Belen Masia},
  title = {Practical Low-Cost Recovery of Spectral Power Distributions},
  journal = {Computer Graphics Forum},
  volume = {35},
  number = {1},
  pages = {166--178},
  year = {2016},
}
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