Nonlinear Processing of a Shift Invariant Dwt for Noise Reduction

@inproceedings{Odegardz1995NonlinearPO,
  title={Nonlinear Processing of a Shift Invariant Dwt for Noise Reduction},
  author={J. E. Odegardz and C. Sidney Burrus and Raymond O. Wells},
  year={1995}
}
A novel approach for noise reduction is presented. Similar to Donoho, we employ thresholding in some wavelet transform domain but use a nondecimated and consequently redundant wavelet transform instead of the usual orthogonal one. Another diierence is the shift invariance as opposed to the traditional orthogonal wavelet transform. We show that this new approach can be interpreted as a repeated application of Donoho's original method. The main feature is, however, a dramatically improved noise… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 59 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 33 references

Redundant wavelet transform and denoising

  • H. Guo
  • Technical report,
  • 1995

De-noising using wavelets and cross validation

  • N. Weyrich, G.T.Warhola
  • Technical Report AFIT/EN/TR/94-01,
  • 1994

Image restoration with noise suppresion using a wavelet transform and a mul- tiresolution support constraint

  • J.-L. Starck, F. Murtagh, A. Bijaoui
  • In Image Reconstruction and Restoration,
  • 1994

Local Feature Extraction and Its Applications Using a Library of Bases

  • N. Saito
  • PhD thesis, Yale University,
  • 1994

Similar Papers

Loading similar papers…