Ompressive imaging system based on parallel visible light focal plane

Yao Ouyang, Jing Chen

科研成果: 期刊稿件文章同行评审

摘要

Based on the compressed sensing theory, a compressive imaging system with parallel visible light focal plane is proposed. The system reconstructs the original image based on block compressed sensing imaging. Due to the use of a panel detector, every small block of the image is sampled at the same time. In the part of the imaging experiment, 0, 1 binary Bernoulli measurement matrices are served as the measurement matrices to reconstruct different target images. Experimental results show that the method of parallel blocked-based compressive imaging system not only decreases the number of sampling, but also aviods a great deal of memory space and calculation because of the excessive measurement matrices. And the proposed imaging system is suitable for high resolution image reconstruction.

源语言英语
文章编号021102
期刊Laser and Optoelectronics Progress
54
2
DOI
出版状态已出版 - 2021

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