Adaptive High-Resolution Imaging Method Based on Compressive Sensing

被引:3
|
作者
Wang, Zijiao [1 ]
Gao, Yufeng [2 ]
Duan, Xiusheng [3 ]
Cao, Jingya [1 ]
机构
[1] Shijiazhuang Tiedao Univ, Sch Mech Engn, Shijiazhuang 050000, Hebei, Peoples R China
[2] Univ Hong Kong, Sch Engn, Hong Kong, Peoples R China
[3] Hebei Polytech Inst, Sch Artificial Intelligence & Big Data, Shijiazhuang 050000, Hebei, Peoples R China
关键词
compressive sensing; adaptive imaging; fiber array; high pixels; SYSTEM;
D O I
10.3390/s22228848
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Compressive sensing (CS) is a signal sampling theory that originated about 16 years ago. It replaces expensive and complex receiving devices with well-designed signal recovery algorithms, thus simplifying the imaging system. Based on the application of CS theory, a single-pixel camera with an array-detection imaging system is established for high-pixel detection. Each detector of the detector array is coupled with a bundle of fibers formed by fusion of four bundles of fibers of different lengths, so that the target area corresponding to one detector is split into four groups of target information arriving at different times. By comparing the total amount of information received by the detector with the threshold set in advance, it can be determined whether the four groups of information are calculated separately. The simulation results show that this new system can not only reduce the number of measurements required to reconstruct high quality images but can also handle situations wherever the target may appear in the field of view without necessitating an increase in the number of detectors.
引用
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页数:10
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