METHOD AND SYSTEM FOR DENOISING IMAGES USING DEEP GAUSSIAN CONDITIONAL RANDOM FIELD NETWORK

摘要

A sensor acquires an input image X of a scene. The image includes noise with a variance σ². A deep Gaussian conditional random field (GCRF) network is applied to the input image to produce an output image Y, where the output image is denoised, and wherein the deep GCRF includes a prior generation (PgNet) network followed by an inference network (InfNet), wherein the PgNet produces patch covariance priors Σ_ij for patches centered on every pixel (i,j) in the input image, and wherein the InfNet is applied to the patch covariance priors and the input image to solve the GCRF.