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11 February 2017 Laying the foundation to use Raspberry Pi 3 V2 camera module imagery for scientific and engineering purposes
Mary A. Pagnutti, Robert E. Ryan, George J. Cazenavette V, Maxwell J. Gold, Ryan Harlan, Edward Leggett, James F. Pagnutti
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Journal of Electronic Imaging, Vol. 26, Issue 1, 013014 (February 2017). https://doi.org/10.1117/1.JEI.26.1.013014
Abstract
A comprehensive radiometric characterization of raw-data format imagery acquired with the Raspberry Pi 3 and V2.1 camera module is presented. The Raspberry Pi is a high-performance single-board computer designed to educate and solve real-world problems. This small computer supports a camera module that uses a Sony IMX219 8 megapixel CMOS sensor. This paper shows that scientific and engineering-grade imagery can be produced with the Raspberry Pi 3 and its V2.1 camera module. Raw imagery is shown to be linear with exposure and gain (ISO), which is essential for scientific and engineering applications. Dark frame, noise, and exposure stability assessments along with flat fielding results, spectral response measurements, and absolute radiometric calibration results are described. This low-cost imaging sensor, when calibrated to produce scientific quality data, can be used in computer vision, biophotonics, remote sensing, astronomy, high dynamic range imaging, and security applications, to name a few.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Mary A. Pagnutti, Robert E. Ryan, George J. Cazenavette V, Maxwell J. Gold, Ryan Harlan, Edward Leggett, and James F. Pagnutti "Laying the foundation to use Raspberry Pi 3 V2 camera module imagery for scientific and engineering purposes," Journal of Electronic Imaging 26(1), 013014 (11 February 2017). https://doi.org/10.1117/1.JEI.26.1.013014
Received: 21 October 2016; Accepted: 19 January 2017; Published: 11 February 2017
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KEYWORDS
Cameras
Calibration
Sensors
Image sensors
Optical spheres
Integrating spheres
RGB color model
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