Abstract
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.
Original language | English |
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Article number | 021102 |
Journal | Laser and Optoelectronics Progress |
Volume | 54 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2021 |
Keywords
- Compressive sensing
- Computational imaging
- High resolution imaging
- Imaging systems