Principal components for non-local means image denoising

@article{Tasdizen2008PrincipalCF,
  title={Principal components for non-local means image denoising},
  author={Tolga Tasdizen},
  journal={2008 15th IEEE International Conference on Image Processing},
  year={2008},
  pages={1728-1731}
}
This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising. Image neighborhood vectors used in the non-local means algorithm are first projected onto a lower-dimensional subspace using PCA. Consequently, neighborhood similarity weights for denoising are computed using distances in this subspace rather than the full space. This modification to the non-local means algorithm results in improved accuracy and… CONTINUE READING
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