implicitprior

Module path: cuqi.implicitprior

Classes

ConstrainedGMRF	Implicit Constrained GMRF (Gaussian Markov Random Field).
ConstrainedGaussian	Implicit Constrained Gaussian.
MoreauYoshidaPrior	This class defines (implicit) smoothed priors for which we can apply
NonnegativeGMRF	Implicit Nonnegative GMRF (Gaussian Markov Random Field).
NonnegativeGaussian	Implicit Nonnegative Gaussian.
RegularizedGMRF	Implicit Regularized GMRF (Gaussian Markov Random Field).
RegularizedGaussian	Implicit Regularized Gaussian.
RegularizedUnboundedUniform	Implicit Regularized Unbounded Uniform.
RestorationPrior	This class defines an implicit distribution associated with a restoration operator (eg denoiser). They are several works relating restorations operators with priors, see -Laumont et al. https://arxiv.org/abs/2103.04715 -Hu et al. https://openreview.net/pdf?id=x7d1qXEn1e We cannot sample from this distribution, neither compute its logpdf except in some cases. It allows us to apply algorithms such as MYULA and PnPULA.
TweediePrior	Alias for MoreauYoshidaPrior following Tweedie's formula framework. TweediePrior defines priors where gradients are computed based on Tweedie's identity that links MMSE (Minimum Mean Square Error) denoisers with the underlying smoothed prior, see: - Laumont et al. https://arxiv.org/abs/2103.04715 or https://doi.org/10.1137/21M1406349.