本源码是利用Sparse Prior复原图像的方法,其中包括频域和空域的复原比较,源码中有相应的文章Deconvolution using natural image priors-Deconvolution using natural image priors

图像去噪-A Generative Perspective on MRFs in Low-Level Vision-A Generative Perspective on MRFs in Low-Level Vision Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative

Bayesian Deblurring with Integrated Noise Estimation-Bayesian Deblurring with Integrated Noise Estimation Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequenc

应用于超分辨成像； 图像处理； 图像重建；图像恢复(Deconvolution using natural image priors Gaussian Prior Deconvolution)