Applied Sciences | |
Single-Pixel Color Imaging Method with a Compressive Sensing Measurement Matrix | |
Tong Jia1  Dong Xu1  Dongyue Chen1  Ji Wang2  | |
[1] College of Information Science and Engineering, Northeastern University, No.3-11, WenHua Road, Heping District, Shenyang 110819, China;Shenyang Institute of Automation Chinese Academy of Science, No.114, NanTa Street, ShenHe District, Shenyang 110016, China; | |
关键词: single imaging system; compressive sensing; measurement matrix; | |
DOI : 10.3390/app8081293 | |
来源: DOAJ |
【 摘 要 】
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.
【 授权许可】
Unknown