Premium
Practical Low‐Cost Recovery of Spectral Power Distributions
Author(s) -
AlvarezCortes Sara,
Kunkel Timo,
Masia Belen
Publication year - 2016
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12717
Subject(s) - computer science , rendering (computer graphics) , spectral power distribution , spectral signature , robustness (evolution) , computer vision , artificial intelligence , optics , remote sensing , physics , chemistry , gene , geology , biochemistry
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.