A novel image denoising algorithm using linear Bayesian MAP estimation based on sparse representation
Research sparsity prior of nature images based on sparse representation modeling. Establish a linear Bayesian MAP estimator with sparsity prior for inverse problem. Develop an approximate solution with closed-form to the MAP estimator. Data clustering is exploited for improving the denoising performance.
image denoising sparse representation linear bayesian estimation orthonormal matching pursuit k-svd algorithm