Interpreting translation-invariant wavelet shrinkage as a new image smoothing scale space

@article{Chambolle2001InterpretingTW,
  title={Interpreting translation-invariant wavelet shrinkage as a new image smoothing scale space},
  author={Antonin Chambolle and Bradley J. Lucier},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={2001},
  volume={10 7},
  pages={993-1000}
}
Coifman and Donoho (1995) suggested translation-invariant wavelet shrinkage as a way to remove noise from images. Basically, their technique applies wavelet shrinkage to a two-dimensional (2-D) version of the semi-discrete wavelet representation of Mallat and Zhong (1992), Coifman and Donoho also showed how the method could be implemented in O(Nlog N) operations, where there are N pixels. In this paper, we provide a mathematical framework for iterated translation-invariant wavelet shrinkage… CONTINUE READING

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