Non-linear dark current fixed pattern noise compensation for variable frame rate moving picture cameras

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Schöberl M, Senel C, Fößel S, Bloss H, Kaup A
Publication year: 2009
Pages range: 268-272


Abstract


CMOS image sensors are used in most of the camera systems today. For achieving a high image quality it is essential to compensate for fixed pattern noise. Compensation can be carried out by subtracting an estimated noise value per pixel, either directly on the sensor or in the digital processing. Unfortunately these values are different for each camera and will vary for different exposure times, camera mode settings and temperature. This poses additional challenges for high-end moving picture camera systems. We present a new algorithm for improved fixed pattern noise compensation that extends the currently available linear models. Measurements of a real world camera system and a simulation are used to show the improvements with our algorithm. Significant improvement of the compensated fixed pattern noise over a wide exposure range is shown. This allows the operation of the camera system at a much wider range of frame rates and especially long exposures are now possible. Our algorithm can be implemented without increasing the required memory bandwidth which saves power, size and cost. © EURASIP, 2009.



FAU Authors / FAU Editors

Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Schöberl, Michael
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


External institutions
Fraunhofer-Institut für Integrierte Schaltungen (IIS)


How to cite

APA:
Schöberl, M., Senel, C., Fößel, S., Bloss, H., & Kaup, A. (2009). Non-linear dark current fixed pattern noise compensation for variable frame rate moving picture cameras. (pp. 268-272). Glasgow, GB.

MLA:
Schöberl, Michael, et al. "Non-linear dark current fixed pattern noise compensation for variable frame rate moving picture cameras." Proceedings of the 17th European Signal Processing Conference, EUSIPCO 2009, Glasgow 2009. 268-272.

BibTeX: 

Last updated on 2018-10-08 at 09:08