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Estimating the spectral sensitivity of a digital sensor using calibration targets

Author:

Marc EbnerAuthors Info & Claims

GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation

Pages 642 - 649

https://doi.org/10.1145/1276958.1277095

Published: 07 July 2007 Publication History

Abstract

A digital sensor which is used inside a digital camera usually responds to a range of wavelengths. The response of the sensor is proportional to the product of the irradiance falling onto the sensor and the sensitivity of the sensor integrated over all wavelengths. Knowledge of the sensor's response function is important for colorimetry and the research area of color constancy. Such data may not always be available from the manufacturer of the camera. The sensitivity of the imaging device is a result of the hardware properties of theimaging chip, the lens and filters used, and the post-processing done by the processor contained inside the camera. We will be using an evolution strategy to obtain the sensor response curves of a camera given a single image of a calibration target.

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Cited By

Solomatov GAkkaynak D(2023)Spectral Sensitivity Estimation Without a Camera2023 IEEE International Conference on Computational Photography (ICCP)10.1109/ICCP56744.2023.10233713(1-12)Online publication date: 28-Jul-2023
https://doi.org/10.1109/ICCP56744.2023.10233713
Chaji SPourreza APourreza HRouhani M(2018)Estimation of the camera spectral sensitivity function using neural learning and architectureJournal of the Optical Society of America A10.1364/JOSAA.35.00085035:6(850)Online publication date: 2-May-2018
https://doi.org/10.1364/JOSAA.35.000850
Logie GCoburn C(2018)An investigation of the spectral and radiometric characteristics of low-cost digital cameras for use in UAV remote sensingInternational Journal of Remote Sensing10.1080/01431161.2018.148829739:15-16(4891-4909)Online publication date: 3-Jul-2018
https://doi.org/10.1080/01431161.2018.1488297
Show More Cited By

Index Terms

Estimating the spectral sensitivity of a digital sensor using calibration targets

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cover image ACM Conferences

GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation

July 2007

2313 pages

ISBN:9781595936974

DOI:10.1145/1276958

General Chair:
Hod Lipson
Cornell University, USA

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 07 July 2007

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GECCO07

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GECCO07: Genetic and Evolutionary Computation Conference

July 7 - 11, 2007

London, England

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GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;

Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

Solomatov GAkkaynak D(2023)Spectral Sensitivity Estimation Without a Camera2023 IEEE International Conference on Computational Photography (ICCP)10.1109/ICCP56744.2023.10233713(1-12)Online publication date: 28-Jul-2023
https://doi.org/10.1109/ICCP56744.2023.10233713
Chaji SPourreza APourreza HRouhani M(2018)Estimation of the camera spectral sensitivity function using neural learning and architectureJournal of the Optical Society of America A10.1364/JOSAA.35.00085035:6(850)Online publication date: 2-May-2018
https://doi.org/10.1364/JOSAA.35.000850
Logie GCoburn C(2018)An investigation of the spectral and radiometric characteristics of low-cost digital cameras for use in UAV remote sensingInternational Journal of Remote Sensing10.1080/01431161.2018.148829739:15-16(4891-4909)Online publication date: 3-Jul-2018
https://doi.org/10.1080/01431161.2018.1488297
Kawakami RZhao HTan RIkeuchi K(2013)Camera Spectral Sensitivity and White Balance Estimation from Sky ImagesInternational Journal of Computer Vision10.1007/s11263-013-0632-1105:3(187-204)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1007/s11263-013-0632-1
Lecca M(2013)On the von Kries Model: Estimation, Dependence on Light and Device, and ApplicationsAdvances in Low-Level Color Image Processing10.1007/978-94-007-7584-8_4(95-135)Online publication date: 17-Dec-2013
https://doi.org/10.1007/978-94-007-7584-8_4
Shuai Han Matsushita YSato IOkabe TSato Y(2012)Camera spectral sensitivity estimation from a single image under unknown illumination by using fluorescence2012 IEEE Conference on Computer Vision and Pattern Recognition10.1109/CVPR.2012.6247752(805-812)Online publication date: Jun-2012
https://doi.org/10.1109/CVPR.2012.6247752
Rump MZinke AKlein R(2011)Practical spectral characterization of trichromatic camerasACM Transactions on Graphics10.1145/2070781.202420430:6(1-10)Online publication date: 12-Dec-2011
https://dl.acm.org/doi/10.1145/2070781.2024204
Rump MZinke AKlein R(2011)Practical spectral characterization of trichromatic camerasProceedings of the 2011 SIGGRAPH Asia Conference10.1145/2024156.2024204(1-10)Online publication date: 12-Dec-2011
https://dl.acm.org/doi/10.1145/2024156.2024204
Pike T(2010)Using digital cameras to investigate animal colouration: estimating sensor sensitivity functionsBehavioral Ecology and Sociobiology10.1007/s00265-010-1097-765:4(849-858)Online publication date: 10-Nov-2010
https://doi.org/10.1007/s00265-010-1097-7
Ebner M(2008)A genetic programming approach to deriving the spectral sensitivity of an optical systemProceedings of the 11th European conference on Genetic programming10.5555/1792694.1792701(61-72)Online publication date: 26-Mar-2008
https://dl.acm.org/doi/10.5555/1792694.1792701
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