Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

@article{Dabov2007ImageDB,
  title={Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering},
  author={Kostadin Dabov and Alessandro Foi and Vladimir Katkovnik and Karen O. Egiazarian},
  journal={IEEE Transactions on Image Processing},
  year={2007},
  volume={16},
  pages={2080-2095}
}
We propose a novel image denoising strategy based on an enhanced sparse representation in transform domain. The enhancement of the sparsity is achieved by grouping similar 2D image fragments (e.g., blocks) into 3D data arrays which we call "groups." Collaborative Altering is a special procedure developed to deal with these 3D groups. We realize it using the three successive steps: 3D transformation of a group, shrinkage of the transform spectrum, and inverse 3D transformation. The result is a… 
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