A non-iterative foveated single-pixel imaging using fast transformation algorithm

被引:4
|
作者
Wang, Guan [1 ]
Deng, Huaxia [2 ]
Ma, Mengchao [1 ]
Zhong, Xiang [1 ]
Gong, Xinglong [2 ]
机构
[1] Hefei Univ Technol, Sch Instrument Sci & Optoelect Engn, Hefei 230009, Anhui, Peoples R China
[2] Univ Sci & Technol China, Dept Modern Mech, CAS Key Lab Mech Behav & Design Mat, Hefei 230027, Peoples R China
基金
中国国家自然科学基金;
关键词
EYE;
D O I
10.1063/5.0160037
中图分类号
O59 [应用物理学];
学科分类号
摘要
Inspired by the human eye retina, foveated single-pixel imaging employs an iterative algorithm, which, unfortunately, poses a challenge for real-time imaging due to its time-consuming nature. To address this issue, we present a non-iterative foveated single-pixel imaging method based on a computationally fast algorithm, reducing time consumption by five orders of magnitude. The fast algorithmic transform facilitates the acquisition of foveated reconstructions. In addition to mimicking human saccadic eye movements, the foveated strategy adapts to motion tracking through the foveal gaze control method. During high-resolution imaging in the fovea area, the maximum sensing area expands 3.14 times, similar to human vision. The proposed retina-like single-pixel imaging has great potential in future applications with the advantages of avoiding complex optics design, low time consumption, and wider vision field.
引用
收藏
页数:6
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