Wavelet transform domain filters: a spatially selective noise filtration technique

@article{Xu1994WaveletTD,
  title={Wavelet transform domain filters: a spatially selective noise filtration technique},
  author={Yansun Xu and John B. Weaver and Dennis M. Healy and Jian Lu},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={1994},
  volume={3 6},
  pages={
          747-58
        }
}
  • Yansun Xu, J. Weaver, Jian Lu
  • Published 1 November 1994
  • Physics
  • IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Wavelet transforms are multiresolution decompositions that can be used to analyze signals and images. They describe a signal by the power at each scale and position. Edges can be located very effectively in the wavelet transform domain. A spatially selective noise filtration technique based on the direct spatial correlation of the wavelet transform at several adjacent scales is introduced. A high correlation is used to infer that there is a significant feature at the position that should be… 

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