Performance test and image correction of CMOS image sensor in radiation environment

Congzheng Wang; Song Hu; Chunming Gao; Chang Feng

doi:10.1117/12.2243427

27 September 2016 Performance test and image correction of CMOS image sensor in radiation environment

Congzheng Wang, Song Hu, Chunming Gao, Chang Feng

Proceedings Volume 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment; 96841H (2016) https://doi.org/10.1117/12.2243427
Event: Eighth International Symposium on Advanced Optical Manufacturing and Testing Technology (AOMATT2016), 2016, Suzhou, China

Abstract

CMOS image sensors rival CCDs in domains that include strong radiation resistance as well as simple drive signals, so it is widely applied in the high-energy radiation environment, such as space optical imaging application and video monitoring of nuclear power equipment. However, the silicon material of CMOS image sensors has the ionizing dose effect in the high-energy rays, and then the indicators of image sensors, such as signal noise ratio (SNR), non-uniformity (NU) and bad point (BP) are degraded because of the radiation. The radiation environment of test experiments was generated by the ⁶⁰Co γ-rays source. The camera module based on image sensor CMV2000 from CMOSIS Inc. was chosen as the research object. The ray dose used for the experiments was with a dose rate of 20krad/h. In the test experiences, the output signals of the pixels of image sensor were measured on the different total dose. The results of data analysis showed that with the accumulation of irradiation dose, SNR of image sensors decreased, NU of sensors was enhanced, and the number of BP increased. The indicators correction of image sensors was necessary, as it was the main factors to image quality. The image processing arithmetic was adopt to the data from the experiences in the work, which combined local threshold method with NU correction based on non-local means (NLM) method. The results from image processing showed that image correction can effectively inhibit the BP, improve the SNR, and reduce the NU.

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Congzheng Wang, Song Hu, Chunming Gao, and Chang Feng "Performance test and image correction of CMOS image sensor in radiation environment", Proc. SPIE 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 96841H (27 September 2016); https://doi.org/10.1117/12.2243427

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KEYWORDS

Image sensors

Signal to noise ratio

Image processing

CMOS sensors

Sensors

Image quality

Cameras

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