AN Hualiang, HE Yuanqing, LIU Yuanxing, TAO Dongxing, CAO Zhengbin, CHEN Bei, ZHENG Yue, LI Mingfei
The single-pixel camera is not yet mature in terms of integration and engineering, and most research only focuses on building and testing in laboratory environments. However, in engineering applications, the volume, weight, and testing environment of the prototype are all factors that affect the quality of single-pixel imaging. Therefore, under the constraints of volume, weight, and testing environment, a single pixel camera in the near infrared band is tested in complex environments such as natural light sources and infrared lights using an efficient encoding and decoding algorithm integrated with C++ language. The integrated single-pixel camera can achieve 2.5 frames per second @256×256 pixels with an angular resolution of 7.3 mrad at a 6.25% sampling rate. As the exposure time increases, the image signal-to-noise ratio significantly rises. After processing with a deep learning denoising network, the quality of single-frame imaging still has room for improvement. Additionally, the response characteristics of the integrated prototype to vibration are also simulated and studied, and the adaptability of the prototype in general transportation environments is discussed. This study has a promoting effect on improving the technological maturity of single-pixel cameras, and provides a solution for low-cost infrared imaging.