spyrit.core.recon

Reconstruction methods and networks.

Classes

DCDRUNet(noise, prep, sigma[, denoi, ...])	Denoised completion reconstruction network based on DRUNet wich concatenates a
DCNet(noise, prep, sigma[, denoi])	Denoised completion reconstruction network
Denoise_layer(M)	Wiener filter that assumes additive white Gaussian noise.
PinvNet(noise, prep[, denoi])	Pseudo inverse reconstruction network
PositiveMonoIncreaseParameters(size[, val_min])
PositiveParameters(size[, val_min])
PseudoInverse()	Moore-Penrose pseudoinverse.
TikhonovMeasurementPriorDiag(sigma, M)	Tikhonov regularization with prior in the measurement domain.
UPGD(noise, prep[, denoi, num_iter, lamb, ...])