Sparsity regularized image Laplace denosing based on Peaceman Rachford operator splitting algorithm
稀疏性正则化的图像Laplace去噪及PR算子分裂算法*

Adopting Bayesian-MAP estimation framework,this paper proposed a sparsity regularized non-smooth convex functional model to denosie Laplace noisy image.The L1 norm was used for data fidelity term and non-smooth regularization term constrains the sparse representation of the underlying image over the overcomplete dictionary.Inspired form the Peaceman-Rachford operator splitting method,proposed a multi-step fast iterative algorithm to solve the non-smooth model above numerically.By introducing the proximal op...