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. Author manuscript; available in PMC: 2023 Mar 1.
Published in final edited form as: IEEE Signal Process Mag. 2022 Feb 24;39(2):28–44. doi: 10.1109/msp.2021.3119273

Fig. 7.

Fig. 7.

Illustration of GAN-based methods for biological image reconstruction. (a) GAN, (b) pix2pix [21], (c) AmbientGAN [22], (d) cryoGAN [23]. x, y denote data in the image domain, and the measurement domain, respectively. G, D refers to generator, discriminator, respectively. H defines the function family of the forward measurement process, parameterized with φ. Networks and variables that are marked in blue have learnable parameters optimized with gradient descent.