Fig. 1. Structure of the conditional GAN; (a) architecture of the generator; (b) principle of the discriminator. G, generator; D, discriminator.

Fig. 2. Experiment setup. DMD, digital micromirror device; OBJ, microscope objective lens; MMF, multimode fiber; CCD, charge-coupled device.

Fig. 3. Structures of generator in the (a) MNIST experiment and (b) Fashion-MNIST experiment.

Fig. 4. Structures of discriminator in the (a) MNIST experiment and (b) Fashion-MNIST experiment.

Fig. 5. Reconstruction performances with different output resolutions of the discriminator in (a) the MNIST experiment and (b) the Fashion-MNIST experiment.

Fig. 6. Loss for training process of U-net and the conditional GAN in (a) the MNIST experiment and (b) the Fashion-MNIST experiment.

Fig. 7. Reconstruction results of U-Net and the conditional GAN in (a) the MNIST experiment and (b) the Fashion-MNIST experiment.

Fig. 8. PSNR and SSIM at each training set number by U-net and the conditional GAN in (a) the MNIST experiment and (b) the Fashion-MNIST experiment.