Study of GAN-based image reconstruction for diffractive optical systems

In previous works, the generative adversarial network (GAN) was successfully used to remove the image-wise color distortion of images captured by diffractive optics. It showed good image quality for a test sample. However, some reconstruction artifacts were produced by GAN for real scene images. In the paper, we study the nature of these artifacts. We show how overexposure and cross-like markers affect the occurrence of artifacts.