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research
Use of commercial off-the-shelf digital cameras for scientific data acquisition and scene-specific color calibration
Authors
Derya Akkaynak
Tali Treibitz
+5 more
Bei Xiao
Umut A. Gurkan
Justine J. Allen
Utkan Demirci
Roger T. Hanlon
Publication date
20 January 2014
Publisher
Optical Society of America
Doi
Abstract
Author Posting. © Optical Society of America, 2014. This article is posted here by permission of Optical Society of America for personal use, not for redistribution. The definitive version was published in Journal of the Optical Society of America A: Optics, Image Science, and Vision 31 (2014): 312-321, doi:10.1364/JOSAA.31.000312.Commercial off-the-shelf digital cameras are inexpensive and easy-to-use instruments that can be used for quantitative scientific data acquisition if images are captured in raw format and processed so that they maintain a linear relationship with scene radiance. Here we describe the image-processing steps required for consistent data acquisition with color cameras. In addition, we present a method for scene-specific color calibration that increases the accuracy of color capture when a scene contains colors that are not well represented in the gamut of a standard color-calibration target. We demonstrate applications of the proposed methodology in the fields of biomedical engineering, artwork photography, perception science, marine biology, and underwater imaging.T. Treibitz is an Awardee of the Weizmann Institute of Science—National Postdoctoral Award Program for Advancing Women in Science and was supported by NSF grant ATM-0941760. D. Akkaynak, J. Allen, and R. Hanlon were supported by NSF grant 1129897 and ONR grants N0001406-1-0202 and N00014-10-1-0989 and U. Demirci by grants R01AI093282, R01AI081534, and NIH U54EB15408. J. Allen is grateful for support from a National Defense Science and Engineering Graduate Fellowship
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Revista de Ingeniería (Facultad de Ingeniería, Universidad de los Andes)
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Revista de Ingeniería (Facultad de Ingeniería, Universidad de los Andes)
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Last time updated on 15/12/2019