Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients

@article{Durand2009MultiplicativeNR,
  title={Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients},
  author={Sylvain Durand and Mohamed-Jalal Fadili and Mila Nikolova},
  journal={Journal of Mathematical Imaging and Vision},
  year={2009},
  volume={36},
  pages={201-226}
}
We address the denoising of images contaminated with multiplicative noise, e.g. speckle noise. Classical ways to solve such problems are filtering, statistical (Bayesian) methods, variational methods, and methods that convert the multiplicative noise into additive noise (using a logarithmic function), apply a variational method on the log data or shrink their coefficients in a frame (e.g. a wavelet basis), and transform back the result using an exponential function. We propose a method composed… CONTINUE READING
Highly Influential
This paper has highly influenced 12 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 108 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 71 extracted citations

109 Citations

01020'10'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 109 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 76 references

Similar Papers

Loading similar papers…