Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/29782
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Standardized spectral and radiometric calibration of consumer cameras
Author(s): Burggraaff, Olivier
Schmidt, Norbert
Zamorano, Jaime
Pauly, Klaas
Pascual, Sergio
Tapia, Carlos
Spyrakos, Evangelos
Snik, Frans
Contact Email: evangelos.spyrakos@stir.ac.uk
Issue Date: 24-Jun-2019
Citation: Burggraaff O, Schmidt N, Zamorano J, Pauly K, Pascual S, Tapia C, Spyrakos E & Snik F (2019) Standardized spectral and radiometric calibration of consumer cameras. Optics Express, 27 (14), pp. 19075-19101. https://doi.org/10.1364/OE.27.019075
Abstract: Consumer cameras, particularly onboard smartphones and UAVs, are now commonly used as scientific instruments. However, their data processing pipelines are not optimized for quantitative radiometry and their calibration is more complex than that of scientific cameras. The lack of a standardized calibration methodology limits the interoperability between devices and, in the ever-changing market, ultimately the lifespan of projects using them. We present a standardized methodology and database (SPECTACLE) for spectral and radiometric calibrations of consumer cameras, including linearity, bias variations, read-out noise, dark current, ISO speed and gain, flat-field, and RGB spectral response. This includes golden standard ground-truth methods and do-it-yourself methods suitable for non-experts. Applying this methodology to seven popular cameras, we found high linearity in RAW but not JPEG data, inter-pixel gain variations >400% correlated with large-scale bias and read-out noise patterns, non-trivial ISO speed normalization functions, flat-field correction factors varying by up to 2.79 over the field of view, and both similarities and differences in spectral response. Moreover, these results differed wildly between camera models, highlighting the importance of standardization and a centralized database.
DOI Link: 10.1364/OE.27.019075
Rights: © 2019 Optical Society of America. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.

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