A method for determining the dark response for scientific imaging with smartphones

Igoe, D. and Parisi, A. V. and Carter, B. (2014) A method for determining the dark response for scientific imaging with smartphones. Instrumentation Science and Technology, 42 (5). pp. 586-592. ISSN 1073-9149

Abstract

The proliferation of smartphone technology has provided an unprecedented opportunity for greater community participation in collaborative scientific observations that were once out of reach due to cost, accessibility and ease of use. Currently, there have been several applications making use of the various sensors included in a smartphone, particularly the image sensor, which has been used in a wide range of scientific endeavours including air quality and medicine. Like all digital image sensors, the one included in a smartphone is subject to noise, particularly that related to dark current. The objective of this paper is to present the development and testing of a method to determine the dark response that a smartphone camera may experience under different temperatures representative of the environmental conditions under which the phone may be used for scientific imaging. This has required the development and testing of a specially developed app. This was tested in the evaluation and analysis of the dark response of a smartphone camera for the range of 8oC to 38oC. The mean of the dark response was relatively unchanged over this range. The method developed in this paper allows the quick and easy determination of the dark response of smartphone image sensors, enabling this to be readily subtracted from the signal in the development of scientific investigations using the smartphone image sensor.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 18 Oct 2014 21:25
Last Modified: 05 Jul 2016 00:10
Uncontrolled Keywords: UV; smartphone; dark response
Fields of Research : 08 Information and Computing Sciences > 0805 Distributed Computing > 080502 Mobile Technologies
09 Engineering > 0906 Electrical and Electronic Engineering > 090605 Photodetectors, Optical Sensors and Solar Cells
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective: B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890104 Mobile Telephone Networks and Services
Identification Number or DOI: 10.1080/10739149.2014.915557
URI: http://eprints.usq.edu.au/id/eprint/25979

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