Figure 2:

The architecture of convolutional neural network (CNN) for point spread function (PSF) enhancement and the flowchart of its training/inference process. (A) Given the reference image, the PSF blurred image can be generated by a developed simulation process (purple arrow pathway), which further synthesizes the PSF enhanced image by the trained CNN G_θ (dark blue arrow pathway). During training, the PSF blurred image was corrupted by different levels of Rician noise, and both L₁ and adversarial losses were used as the similarity metric (orange arrow pathway). (B) The architecture of CNN D_ϕ used for the discriminator in adversarial loss. (C) The basic network building blocks used in (A) and (B).