基于仿真图像评价的光栅立体显示器优化方法

Grating stereoscopic display is currently one of the most popular naked eye three-dimensional(3D) displays, and optimizing its parameters is a key step in the display design process. This article proposes an optimization method for grating stereoscopic displays based on simulation image evaluation. This method is based on existing grating stereoscopic display simulation platforms and assesses display quality by evaluating simulation images, which is more intuitive and convenient, rather than optical indicators. This research invites reviewers to conduct subjective experiments and selects the most suitable evaluation criteria for 3D display simulation images: Learned Perceptual Image Patch Similarity(LPIPS). A joint optimization experiment is conducted on the parameters of a cylindrical lens grating stereoscopic display using Bayesian method, and compares with the traditional optical optimization results of Zemax. The center field of view has a diffuse spot radius of 15.567 micrometre , and the edge field of view has a diffuse spot radius of 89.744 micrometre , both of which meets the design standards of empirical requirements. The experiment shows that this method can correctly optimize the commonly used parameters of the display and achieve the same effect as traditional optical design software. This method has significant potential in the optimization design of grating stereoscopic displays, further provides a new approach for the design process of naked eye 3D displays.