Patent ID: 11880903
Assignee: TSINGHUA UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. The method of claim 1, wherein calculating a distribution distance D({circumflex over (Z)},Z) between a set {circumflex over (Z)} for the estimated noisy image samples {circumflex over (z)}1, {circumflex over (z)}2, {circumflex over (z)}3, . . . , {circumflex over (z)}n and a set Z for the noisy image samples z1, z2, z3, . . . , zn according to a distribution distance function D, comprises:
assuming that the distribution distance function D contains a neural network discriminator ΩD as a distribution distance operator, in which the neural network discriminator ΩD has a parameter set θD; and
using the distribution of the set {circumflex over (Z)} for estimated noisy image samples and the distribution of the set Z for real noisy image samples to compute distribution distance D({circumflex over (Z)},Z) where the distribution distance function D is defined by a distribution distance function in generative adversarial network methods in the generative adversarial network field.