Adaptive Image Denoising by Targeted Databases

@article{Luo2015AdaptiveID,
  title={Adaptive Image Denoising by Targeted Databases},
  author={Enming Luo and Stanley H. Chan and Truong Q. Nguyen},
  journal={IEEE Transactions on Image Processing},
  year={2015},
  volume={24},
  pages={2167-2181}
}
We propose a data-dependent denoising procedure to restore noisy images. Different from existing denoising algorithms which search for patches from either the noisy image or a generic database, the new algorithm finds patches from a database that contains relevant patches. We formulate the denoising problem as an optimal filter design problem and make two contributions. First, we determine the basis function of the denoising filter by solving a group sparsity minimization problem. The… CONTINUE READING
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