BM3D Image Denoising with Shape-Adaptive Principal Component Analysis

@inproceedings{Dabov2009BM3DID,
  title={BM3D Image Denoising with Shape-Adaptive Principal Component Analysis},
  author={Kostadin Dabov and Alessandro Foi and Vladimir Katkovnik and Karen O. Egiazarian},
  year={2009}
}
We propose an image denoising method that ex- ploits nonlocal image modeling, principal component analysis (PCA), and local shape-adaptive anisotropic estimation. The nonlocal modeling is exploited by grouping similar image patches in 3-D groups. The denoising is performed by shrinkage of the spectrum of a 3-D transform applied on such groups. The effectiveness of the shrinkage depends on the ability of the transform to sparsely represent the true-image data, thus separating it from the noise… CONTINUE READING

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