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Proceedings Paper

Research on high-resolution imaging by compressive sensing
Author(s): Weidong Qu; Qiong Gao; Yanxiu Zhang; Bing Wang; Ping Lei; Juanfeng Wang; Na Ma; Zhendong Ding
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Paper Abstract

Owing to the requirement of high resolution of imaging system, such as the infrared imaging system, the imaging laser radar, the compressive sensing is used in the imaging system with low resolution sensors to obtain high quality image information. In this paper, compressive sensing is applied in an imaging system. A random phase mask is placed on the lens of the optical system. The optical wave propagation process of light field from the object plane to the lens, then to the image plane is analyzed and theoretical formula of the propagation with the form of the Fourier transform expression is deduced, thus the reconstruction speed is high by using the fast Fourier transform. The orthogonal wavelet transform and the orthogonal matching pursuit algorithm are employed in the reconstruction. The simulation results prove the good performance of the reconstruction quality and speed.

Paper Details

Date Published: 29 October 2018
PDF: 4 pages
Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108360O (29 October 2018); doi: 10.1117/12.2514452
Show Author Affiliations
Weidong Qu, Luoyang Electronic Equipment Test Ctr. (China)
Qiong Gao, Luoyang Electronic Equipment Test Ctr. (China)
Yanxiu Zhang, Luoyang Electronic Equipment Test Ctr. (China)
Bing Wang, Luoyang Electronic Equipment Test Ctr. (China)
Ping Lei, Luoyang Electronic Equipment Test Ctr. (China)
Juanfeng Wang, Luoyang Electronic Equipment Test Ctr. (China)
Na Ma, Luoyang Electronic Equipment Test Ctr. (China)
Zhendong Ding, Luoyang Electronic Equipment Test Ctr. (China)


Published in SPIE Proceedings Vol. 10836:
2018 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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