A novel super-resolution imaging method based on TDI CCD charge transfer and random exposure

作者：Li, Yun-Hui^*; Wang, Xiao-Dong; Wang, Zhi

来源：Optics Communications, 2018, 426: 170-181.

DOI：10.1016/j.optcom.2018.05.044

• Super-resolution
• Computational imaging
• Compressed sensing
• Imaging reconstruction

Based on compressed sensing theory and TDI CCD driving mode, a collaborative coding method founded on TDI CCD charge transfer and random exposure is proposed in this paper, which breaks through the limitation of pixel size and achieves the improvement of one-dimensional image resolution. By extending this method, an orthogonal dual detector super-resolution imaging system is established, which realizes the improvement of two-dimensional image resolution. Further, the convex optimization algorithm and the proportional fusion algorithm are proposed as the two-dimensional image fusion algorithm. Theoretical modeling and simulation results demonstrate the effectiveness of the proposed imaging method and system, which provide an innovative approach of system implementation for super-resolution imaging based on compressed sensing theory.

• 出版日期2018-11-1
• 单位中国科学院长春光学精密机械与物理研究所; 中国科学院大学