基于SRResNet和点扩散函数设计的高分辨率超透镜成像

High-resolution metalens imaging based on SRResNet and point diffusion function design

超透镜作为一种可在亚波长尺度灵活调控光场的人工微结构,近年来在光学成像领域受到了广泛关注。在超透镜成像系统设计中,通常只根据焦距和工作波长设计超透镜,而不考虑成像过程,这往往导致整个系统成像质量不佳。为提升成像质量,文章通过将超透镜参数设计和图像恢复算法两个过程同时纳入成像系统的设计过程,提出了一种联合优化方法来实现基于超透镜的高分辨率成像。方法不仅对超透镜参数进行了相应的优化以获得比较理想的点扩散函数,还实现了2倍于输入图片分辨率的高质量图像重建。

As an artificial micro-structure that can flexibly control the light field at the sub-wavelength scale,metalens has received extensive attention in the field of optical imaging in recent years.In the design of the metalens imaging system,the metalens is usually designed only according to the focal length and working wavelength,without considering the imaging process,which often leads to poor imaging quality of the whole system.In order to improve the imaging quality,a joint optimization method is proposed to achieve high-resolution imaging based on metalens by incorporating the two processes of metalens design and image reconstruction algorithm into the design process of the imaging system.This method not only optimizes the parameters of the metalens to obtain a ideal point spread function,but also achieves high-quality image reconstruction up to 2 times the resolution of the input image.