Fig. 3.

Network outputs with different degrading parameters. (a) A 10 × measurement of a human stomach tissue slice. (b1-b4) LR simulations degraded from (a), with different parameters applied. Sigma is the standard deviation of the Gaussian blur kernel and variance denotes the variance of the white noise distribution. (c1-c4) After the network being trained by different simulation data, it correspondingly generates different reconstruction results that are recovered from the same LR measurement (d).