单像素成像技术研究进展 (特 邀)

Single-pixel imaging is an integral imaging method that combines optical modulation and computational reconstruction. This paper reviews the progress of single-pixel imaging, light field modulation, compressed sensing, and deep learning, as well as their applications in wavefront reconstruction, scattering imaging, image encryption, and quantum imaging. It introduces orthogonal modulation and compressed sensing, exploring the progress of deep learning and physical drive in improving imaging speed, fidelity, and robustness. At the same time, it points out the challenges of single-pixel imaging in terms of real-time performance, noise suppression, and environmental adaptability.