Patch-Based Video Denoising With Optical Flow Estimation

@article{Buades2016PatchBasedVD,
  title={Patch-Based Video Denoising With Optical Flow Estimation},
  author={Antoni Buades and Jose Luis Lisani and Marko Miladinovic},
  journal={IEEE Transactions on Image Processing},
  year={2016},
  volume={25},
  pages={2573-2586}
}
A novel image sequence denoising algorithm is presented. The proposed approach takes advantage of the self-similarity and redundancy of adjacent frames. The algorithm is inspired by fusion algorithms, and as the number of frames increases, it tends to a pure temporal average. The use of motion compensation by regularized optical flow methods permits robust patch comparison in a spatiotemporal volume. The use of principal component analysis ensures the correct preservation of fine texture and… CONTINUE READING

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