Ms. Hongmei Li Profile

Hongmei Li

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Proceedings Article | 4 December 2024 Paper

Investigation and application of a Gaussian-based noise model in infrared computational imaging

Wenhan Huang, Xiaowei Jia, Yujie Xing, Hongmei Li, Dinghao Yang, Xiong Dun, Zhanshan Wang, Xinbin Cheng

Proceedings Volume 13283, 132833N (2024) https://doi.org/10.1117/12.3037144

KEYWORDS: Infrared imaging, Signal to noise ratio, Sensors, Infrared radiation, Imaging systems, Thermal modeling, Image processing, Pyroelectric detectors

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Infrared imaging systems play an important role in many fields. With the increasing demand for system miniaturization, infrared computational imaging technology achieves aberration correction through image restoration algorithms, becoming an effective way to simplify system configuration. The accurate modeling of detector noise is a critical step in infrared computational imaging technology, and its precision directly impacts the efficacy of image restoration. This article elucidates the random noise model of pyroelectric detectors through experimental research and proposes a dynamic noise model to enhance the performance of infrared computational imaging systems. The study initially established a noise testing system for pyroelectric detectors, designed to operate under various temperature conditions in accordance with the specifications of infrared detector noise testing. Subsequently, it conducted a comprehensive analysis of the detectors' noise characteristics. The test results indicate that the random noise conforms to a Gaussian distribution without Poisson components. Furthermore, as integration time and detector temperature increase, the noise demonstrates linear and exponential growth trends respectively. Building upon these findings, dynamic noise models were integrated into imaging noise simulations. Results show that compared with traditional single random noise models, the newly proposed dynamic model improves peak signal-to-noise ratio by 9.17dB, demonstrating its effectiveness in enhancing performance within infrared computing imaging systems. Through extensive exploration into random noises associated with pyroelectric detectors and proposing dynamic models for such noises, this paper not only advances understanding regarding their characteristics but also presents novel strategies for optimizing infrared computational imaging systems—offering significant theoretical significance and practical value.

Proceedings Article | 4 April 2023 Paper

Design of a compact 400-1700 nm imaging spectrometer with aberration correction grating

Yujie Xing, Hongmei Li, Kaiyi Ji, Xinbin Cheng, Xiong Dun

Proceedings Volume 12617, 126174M (2023) https://doi.org/10.1117/12.2666369

KEYWORDS: Spectroscopy, Imaging systems, Design and modelling, Aberration correction, Freeform optics

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Imaging spectrometer with a broad spectrum (such as 400-1700nm) plays an important role in searching for crime scene evidence. The requirement for quickly finding evidence at the crime scene pushes the imaging spectrometer to be more compact. With the development of freeform technology, the Schwarzschild imaging spectrometer with freeform surfaces has good optical performance and compact size. In this paper, aberration correction grating was used in the freeform Schwarzschild imaging spectrometer, which brought more freedom to correct the system aberrations and made the imaging spectrometer more compact. Based on this concept, the compact imaging spectrometer with aberration correction grating is an F/3.2, long slit (12.8mm) with 640 pixels design, covering the spectral range 400-1700nm with 2.6nm sampling. The design results indicate that good optical performance and manufacturability of the system are obtained. Compared with traditional freeform imaging spectrometer, whose optical system volume is 95mmX135mmX52mm, this design volume is only 85mmX125mmX48mm, almost 23% smaller than freeform type, which is very portable for on-site crime scene evidence inspection.

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