Low noise infrared imaging based on frequency upconversion

Yuqi Jiang; Tianyi Mao; Guohua Gu; Weiji He; Qian Chen

doi:10.1117/12.2620960

27 March 2022 Low noise infrared imaging based on frequency upconversion

Yuqi Jiang, Tianyi Mao, Guohua Gu, Weiji He, Qian Chen

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 1216911 (2022) https://doi.org/10.1117/12.2620960
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

In this paper, a low noise infrared imaging based on frequency upconversion is proposed. A function based on the quasi phase-match of two acquired images within 3dB width is formulated to evaluate the maximum step size of the nonlinear crystal temperature for each acquisition. The measurement time is reduced by acquiring images at these specific temperatures. The integration time of each frame is reassigned to improve the signal noise ratio of the acquired images. Comparing scanning the object, our method reduce the noise in background area to 17.14%.

Citation Download Citation

Yuqi Jiang, Tianyi Mao, Guohua Gu, Weiji He, and Qian Chen "Low noise infrared imaging based on frequency upconversion", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 1216911 (27 March 2022); https://doi.org/10.1117/12.2620960

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