Abstract
Multi-exposure high dynamic range(HDR) imaging builds HDR radiance maps by stitching together different views of a same scene with varying exposures. Practically, this process involves converting raw sensor data into low dynamic range (LDR) images, estimate the camera response curves, and use them in order to recover the irradiance for every pixel. During the export, applying white balance settings and image stitching, which both have an influence on the color balance in the final image. In this paper, we use a calibrated quasi-monochromatic light source, an integrating sphere, and a spectrograph in order to evaluate and compare the average spectral response of the image sensor. We finally draw some conclusion about the color consistency of HDR imaging and the additional steps necessary to use multi-exposure HDR imaging as a tool to measure the physical quantities such as radiance and luminance.
About the authors
Boris Lenseigne defended his PhD in Paul Sabatier University (Toulouse, France) in 2004 in sign language analysis and worked as a researcher for the Institut Pasteur Korea (Seoul, South Korea) where he was developing pattern recognition methods for confocal microscopy images analysis. He is, since 2008, a postdoctoral fellow in Vision-based Robotics at the Bio-Mechanical Engineering group of the Delft University of Technology (Netherlands). His current interests are about computer vision, image processing, cognitive models and perception, 3D reconstruction for humanoid robots, and alternative 3D reconstruction strategies including depth from motion and shape from shading.
Valery Ann Jacobs joined the faculty of engineering of the Vrije Universiteit Brussel (Belgium) as a PhD student in 2011, after obtaining a master in Astronomy and Astrophysics at K.U.Leuven. Her main research activity is related to non-imaging optics, but she has a keen interest in imaging optics as well.
Martijn Withouck joined the engineering department of K.U.Leuven as a PhD student in 2011, after obtaining a master in Physics and Astrophysics at UGent. His main research activity is related to color perception.
Peter Hanselaer received his PhD in Physics at the University of Gent (Belgium) in 1986. Peter is professor at the Catholic University College Sint Lieven and associate professor at the K.U.Leuven, Dept. EAST/ELECTA (Elektrische Energie en Computer Architecturen). In September 2011, he became vice president of the department of industrial engineering, responsible for research and international cooperation. He is a board member of the Belgian Institute on Illumination and Belgian delegate in the CIE (Commission Internationale de l’Eclairage), division 1. In 1997, Peter founded the Light&Lighting Laboratory which was supported by IWT Flanders (agentschap voor Innovatie door Wetenschap en Technologie) and several industrial and scientific partners.
Pieter Jonker is a full professor in Vision-based Robotics at the Bio-Mechanical Engineering group of the Delft University of Technology (NL). He coordinated various multidisciplinary national and EU projects in the area of flexible manufacturing, robot assembly, real-time computer architectures, nano-computing, and autonomous cooperating robots. With Dr Martijn Wisse, he runs the Dutch Bio-robotics Laboratory at Delft University of Technology, in which bio-inspired research is performed on humanoid robots and robotics for care. He is a member of the IEEE and fellow of the IAPR. His current research interest is on bio-inspired real-time embedded vision systems for robotics, surveillance, and augmented reality and on hierarchical reinforcement learning for walking robots.
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