unofficial python version of holoencoder (from "High-speed computer-generated holography using an autoencoder-based deep neural network"). pytorch is used.
the Unet is almost same as the official matlab version from THUHoloLab(https://github.com/THUHoloLab/Holo-encoder)
Instead, we use band-limited ASM （from"Band-Limited Angular Spectrum Method for Numerical Simulation of Free-Space Propagation in Far and Near Fields"）. And the loss function is MSE.
PSNR and SSIM is a little higher than original paper.It is tested using RTX3080， DIV2K validation dataset.
非官方python版holoencoder(来自"High-speed computer-generated holography using an autoencoder-based deep neural network").使用pytorch.
Unet部分与THUHoloLab官方的matlab版几乎相同（https://github.com/THUHoloLab/Holo-encoder ）。
衍射计算使用带限角谱（来自"Band-Limited Angular Spectrum Method for Numerical Simulation of Free-Space Propagation in Far and Near Fields"）。损失函数是MSE。
PSNR和SSIM比原来的论文高一点。测试指标使用RTX3080， DIV2K validation dataset
