Single-Pixel Color Imaging Method with a Compressive Sensing Measurement Matrix
1
College of Information Science and Engineering, Northeastern University, No.3-11, WenHua Road, Heping District, Shenyang 110819, China
2
Shenyang Institute of Automation Chinese Academy of Science, No.114, NanTa Street, ShenHe District, Shenyang 110016, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(8), 1293; https://doi.org/10.3390/app8081293
Received: 18 June 2018 / Revised: 28 July 2018 / Accepted: 30 July 2018 / Published: 3 August 2018
(This article belongs to the Section Optics and Lasers)
Compressive sensing theory has addressed the limitations of traditional methods in the field of information technology, and led to a revolution. On the basis of compressive sensing theory research, this study utilized the exterior determinacy and inherent randomness of chaotic sequences, designed a pseudo-random circulant measurement matrix based on chaotic sequence. Compared with other deterministic measurement matrices, the restoration effect of the designed measurement matrix remarkably improved and showed advantages in hardware and storage. Then, this study developed a single-pixel imaging scheme that could accurately obtain color information. The proposed improved measurement matrix combined with the hardware system could accurately reconstruct color images and had good robustness according to various experimental data.
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MDPI and ACS Style
Jia, T.; Chen, D.; Wang, J.; Xu, D. Single-Pixel Color Imaging Method with a Compressive Sensing Measurement Matrix. Appl. Sci. 2018, 8, 1293. https://doi.org/10.3390/app8081293
AMA Style
Jia T, Chen D, Wang J, Xu D. Single-Pixel Color Imaging Method with a Compressive Sensing Measurement Matrix. Applied Sciences. 2018; 8(8):1293. https://doi.org/10.3390/app8081293
Chicago/Turabian StyleJia, Tong; Chen, Dongyue; Wang, Ji; Xu, Dong. 2018. "Single-Pixel Color Imaging Method with a Compressive Sensing Measurement Matrix" Appl. Sci. 8, no. 8: 1293. https://doi.org/10.3390/app8081293
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