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dc.contributor.authorAlvarez‐Cortes, Saraen_US
dc.contributor.authorKunkel, Timoen_US
dc.contributor.authorMasia, Belenen_US
dc.contributor.editorChen, Min and Zhang, Hao (Richard)en_US
dc.date.accessioned2016-03-01T14:13:09Z
dc.date.available2016-03-01T14:13:09Z
dc.date.issued2016en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12717en_US
dc.description.abstractMeasuring 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.en_US
dc.publisherCopyright © 2016 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectcomputational photographyen_US
dc.subjectimage and video processingen_US
dc.subjectI.4.1 [Image Processing and Computer Vision]: Digitization and Image Capture Radiometryen_US
dc.titlePractical Low‐Cost Recovery of Spectral Power Distributionsen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.sectionheadersArticlesen_US
dc.description.volume35en_US
dc.description.number1en_US
dc.identifier.doi10.1111/cgf.12717en_US


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