Zhou Hao, Chen Yueting, Feng Huajun, Lv Guomian, Xu Zhihai, Li Qi
Opt Express. 2021 Apr 12;29(8):12145-12159. doi: 10.1364/OE.424129.
Rotated rectangular aperture imaging has many advantages in large aperture telephoto systems due to its lower cost and lower complexity. This technology makes it possible to build super large aperture telescopes. In this paper, we combine the ideas of deblurring with rotated rectangular aperture imaging and propose an image synthesis algorithm based on multi-frame deconvolution. In the specific reconstruction process, Hyper-Laplacian priors and sparse priors are used, and an effective solution is developed. The simulation and real shooting experiments show that our algorithm has excellent performance in visual effect and objective evaluation. The synthetic images are significantly sharper than the results of the existing methods.
旋转矩形孔径成像在大孔径长焦系统中具有许多优势，因其成本较低且复杂度较低。这项技术使得建造超大孔径望远镜成为可能。在本文中，我们将去模糊的思想与旋转矩形孔径成像相结合，提出了一种基于多帧反卷积的图像合成算法。在具体的重建过程中，使用了超拉普拉斯先验和稀疏先验，并开发了一种有效的解决方案。仿真和实际拍摄实验表明，我们的算法在视觉效果和客观评价方面都具有优异的性能。合成图像比现有方法的结果明显更清晰。
