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This article is cited in 11 scientific papers (total in 11 papers)
IMAGE PROCESSING, PATTERN RECOGNITION
A method for measuring digital camera noise by automatic segmentation of a striped target
N. N. Evtikhiev, A. V. Kozlov, V. V. Krasnov, V. G. Rodin, R. S. Starikov, P. A. Cheremkhin National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), 115409, Moscow, Russia, Kashirskoye Shosse 31
Abstract:
Currently, cameras are widely used in scientific, industrial and amateur tasks. Thus, one needs to be able to quickly evaluate characteristics and capabilities of a particular camera. A method for measuring noise components of the camera photosensor is proposed. It allows one to estimate shot noise, dark temporal noise, photo response non-uniformity and dark signal non-uniformity. For noise measurement, just two images of the same scene need to be registered. The scene consists of several stripes (quasihomogeneous regions). Then the images are processed by automatic signal segmentation. The performance and accuracy of the proposed method are higher than or equal to other fast methods. The experimental results obtained are similar to those derived using a time-consuming standard method within a measurement error.
Keywords:
digital cameras, sensors, digital image processing, image segmentation, shot noise, photo response non-uniformity.
Received: 25.09.2020 Accepted: 16.12.2020
Citation:
N. N. Evtikhiev, A. V. Kozlov, V. V. Krasnov, V. G. Rodin, R. S. Starikov, P. A. Cheremkhin, “A method for measuring digital camera noise by automatic segmentation of a striped target”, Computer Optics, 45:2 (2021), 267–276
Linking options:
https://www.mathnet.ru/eng/co907 https://www.mathnet.ru/eng/co/v45/i2/p267
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Abstract page: | 122 | Full-text PDF : | 141 | References: | 13 |
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