Open AccessSingle-pixel foreground imaging without a priori background sensing
Author(s) -
Sheng Zhao,
Ruifeng Liu,
Yao Wang,
Yunlong Wang,
Pei Zhang,
Hong Gao,
Feng Huang,
Fuli Li
Publication year - 2020
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.400017
Subject(s) - pixel , computer science , artificial intelligence , computer vision , a priori and a posteriori , detector , compressed sensing , optics , transmission (telecommunications) , physics , telecommunications , philosophy , epistemology
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 1 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.