Zhao Shupeng, Liu Ruifeng, Wang Yao, Wang Yunlong, Zhang Pei, Gao Hong, Huang Feng, Li Fuli
Opt Express. 2020 Aug 31;28(18):26018-26027. doi: 10.1364/OE.400017.
The single-pixel imaging technique, which is significantly different from conventional multi-pixel imaging, utilizes the signal recorded by a single-pixel detector and a stream of structured illumination patterns to reconstruct an image. We design and experimentally demonstrate a real-time single-pixel foreground imaging system with fewer samples and without a priori sensing of the background by performing incremental principal component analysis on online compressed sampling data. A fast ℓ compressed sensing algorithm is adopted to realize real-time foreground imaging of 10 frames per second with an image size of 127 × 127 pixels and a compression ratio of 3%. When applied to a surveillance system that requires long-distance video transmission, this scheme can greatly reduce the compression ratio and allow the system to work with smaller communication bandwidths.
单像素成像技术与传统的多像素成像有显著不同，它利用单像素探测器记录的信号和一系列结构化照明图案来重建图像。我们通过对在线压缩采样数据进行增量主成分分析，设计并实验演示了一种实时单像素前景成像系统，该系统采样次数更少且无需对背景进行先验感知。采用一种快速ℓ压缩感知算法，实现了图像尺寸为127×127像素、压缩率为3%时每秒10帧的实时前景成像。当应用于需要长距离视频传输的监控系统时，该方案可大大降低压缩率，并使系统能够在更小的通信带宽下工作。
