Super resolution imaging method based on the synthetic aperture system

In the long-distance imaging system, one of the main factors limiting the imaging resolution is the size of the imaging lens aperture, which determines the diffraction limit of the optical system. Therefore, we propose a non-interference synthetic aperture super-resolution imaging reconstruction and optimization method. The camera array is used to collect a series of low-resolution sub-aperture images. Combined with Fourier ptychography imaging algorithm, the spectrum and aperture function of the current sub-aperture diameter is updated by using the optimization algorithm based on adaptive step size. to obtain the high-resolution spectrum information of the target to be measured. Meanwhile, the high-resolution spectrum information of the target is obtained. In the reconstruction process, the simulated annealing algorithm is introduced to correct the positioning error of the sub-aperture, and the optimization algorithm is used to update the sub-aperture, which greatly improves the accuracy of the reconstruction results and achieves the theoretical imaging resolution. Moreover, it also has excellent imaging results for complex objects, which verifies the feasibility of the algorithm.