Estimating an image sensor's temperature for darksignal-correction

Julian Achatzi; Gregor Fischer; Volker Zimmer; Dietrich Paulus

doi:10.1117/12.2036958

4 March 2014 Estimating an image sensor's temperature for darksignal-correction

Julian Achatzi, Gregor Fischer, Volker Zimmer, Dietrich Paulus

Proceedings Volume 9022, Image Sensors and Imaging Systems 2014; 90220E (2014) https://doi.org/10.1117/12.2036958
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

An approach for darksignal-correction is presented that uses a model of each pixel's darksignal, which depends on the sensor's settings (integration time and gain) and its temperature. It is shown how one can improve the outcome of such a darksignal-correction strategy by using the darksignal of some pixels in order to compute an estimate of the sensor's temperature. Experimental results indicate that the darksignals' dependency on temperature and gain is more complex than considered in up-to-date darksignal models. In this paper it is shown how one can cope with this complex behaviour when estimating the temperature out of the darksignal. Experimental results indicate, that our method yields better results than using temperature measurements of dedicated temperature sensors.

Citation Download Citation

Julian Achatzi, Gregor Fischer, Volker Zimmer, and Dietrich Paulus "Estimating an image sensor's temperature for darksignal-correction", Proc. SPIE 9022, Image Sensors and Imaging Systems 2014, 90220E (4 March 2014); https://doi.org/10.1117/12.2036958

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