Open AccessCompressive parallel single-pixel imaging for efficient 3D shape measurement in the presence of strong interreflections by using a sampling Fourier strategy
Author(s) -
Yuxi Li,
Hongzhi Jiang,
Haitao Zhao,
Xudong Li,
Yunfan Wang,
Xu Yang
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.433118
Subject(s) - compressed sensing , sampling (signal processing) , computer science , iterative reconstruction , fourier transform , context (archaeology) , pixel , optics , algorithm , computer vision , physics , paleontology , filter (signal processing) , quantum mechanics , biology
We present a compressive parallel single-pixel imaging (cPSI) method, which applies compressive sensing in the context of PSI, to achieve highly efficient light transport coefficients capture and 3D reconstruction in the presence of strong interreflections. A characteristic-based sampling strategy is introduced that has sampling frequencies with high energy and high probability. The characteristic-based sampling strategy is compared with various state-of-the-art sampling strategies, including the square, circular, uniform random, and distance-based sampling strategies. Experimental results demonstrate that the characteristic-based sampling strategy exhibits the best performance, and cPSI can obtain highly accurate 3D shape data in the presence of strong interreflections with high efficiency.