基于压缩感知的单像素成像技术研究进展

Research Progress in Single-Pixel Imaging Based on Compressive Sensing

压缩感知作为一种数据采集方式能够突破传统奈奎斯特采样定律的限制,大大减少数据冗余,是一种被应用于众多领域的理论.同时其在信息安全领域的应用也越来越受到重视.介绍了一种利用压缩感知理论搭建的单像素成像系统,从压缩感知基本理论出发,详细阐述了单像素成像技术的基本原理以及实现方法,分析了单像素成像系统在尺寸、精度、速度、成本等方面面临的问题,最后分析了国内外在单像素成像技术方面的研究现状和发展趋势,提出了该技术现有研究的不足之处并给出了未来的研究方向.

Compressive sensing as a data acquisition method breaks through the limitations of the traditional Nyquist sampling law and greatly reduced the data redundancy. It has been applied in many fields so far. At the same time, its application in information security has also been paid more and more attention. This paper introduces a single pixel imaging system based on compressive sensing theory. From the basic theory of compressed sensing, the basic principle and implementation method of single pixel imaging technology are described in detail, and the problems faced in different aspects are analyzed. Finally, the domestic and foreign issues are analyzed. In the research status and development trend of single pixel imaging technology, the inadequacies of the existing research of this technology are proposed and future research directions are given.