162255 20251017144547.0 doi 10.1111/cgf.12717 sideral 93967 ART-2016-93967 eng Alvarez-Cortes, Sara Practical Low-Cost Recovery of Spectral Power Distributions 2016 Access copy available to the general public Unrestricted 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. info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.611 2016 COMPUTER SCIENCE, SOFTWARE ENGINEERING 44 / 106 = 0.415 2016 Q2 T2 0.732 2016 Computer Networks and Communications 2016 Q1 Computer Graphics and Computer-Aided Design 2016 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Kunkel, Timo Masia, Belen Universidad de Zaragoza (orcid)0000-0003-0060-7278 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 35, 1 (2016), 166-178 Comput. graph. forum Computer Graphics Forum 0167-7055 10957170 http://zaguan.unizar.es/record/162255/files/texto_completo.pdf Postprint 2016069 http://zaguan.unizar.es/record/162255/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:162255 articulos driver 2025-10-17-14:10:16 ARTICLE