spyrit.core.recon

Reconstruction methods and networks.

Classes

DCNet(noise, prep, sigma[, denoi])	Denoised completion reconstruction network.
Denoise_layer(M)	Wiener filter that assumes additive white Gaussian noise.
LearnedPGD(noise, prep[, denoi, iter_stop, ...])	Learned Proximal Gradient Descent reconstruction network.
PinvNet(noise, prep[, denoi])	Pseudo inverse reconstruction network
PositiveParameters(params[, requires_grad])
PseudoInverse()	Moore-Penrose pseudoinverse.
TikhonovMeasurementPriorDiag(sigma, M)	Tikhonov regularisation with prior in the measurement domain.