近红外波段单像素相机测试与仿真研究

Research on Testing and Simulation of Single-pixel Camera in the Near Infrared Band

单像素相机在集成化、工程化方面尚不成熟,大多数研究仅针对实验室环境进行搭建与测试。然而在工程应用中,样机的体积、质量和测试环境均是影响单像素成像质量的因素。故在体积、质量和测试环境等约束条件下,利用集成了C++语言高效编解码算法的近红外波段单像素相机,开展了在自然光源和红外灯等复杂环境下的单像素相机测试。集成的单像素相机在6.25%采样率下可实现2.5帧/s@256×256像素成像,角分辨率为7.3 mrad,随着曝光时间的增加,图像信噪比显著提升,经深度学习的降噪网络处理后,单帧成像质量仍有上升空间。同时,也仿真研究了集成样机对振动的响应特性,讨论了样机在一般运输环境下的适应性。本研究对单像素相机技术成熟度的提升具有推动作用,为低成本红外成像提供了一种解决方案。

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 an gular 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.