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In this work, we propose a sparse Bayesian dictionary learning framework with structure prior which connects nonlocal self-similarity and sparse Bayesian dictionary learning. A Gamma-Gaussian prior is used to impose sparsity and a nonlocal beta process is utilized to introduce the nonlocal self-similarity as a structure prior for image denoising. Unlike most of the existing image denoising methods,...
Synthetic Aperture Radar (SAR) images despeckling technique has been developed for many years. Most methods cannot strike a good balance between smoothing speckle noise and preserving structure. In order to both smoothing speckle and preserving structure, we proposed a despeckling method using singular value thresholding and iterative regularization which inspires from spatially adaptive iterative...
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