The Noise Clinic: a Blind Image Denoising Algorithm

@article{Lebrun2015TheNC,
  title={The Noise Clinic: a Blind Image Denoising Algorithm},
  author={Marc Lebrun and Miguel Colom and Jean-Michel Morel},
  journal={IPOL Journal},
  year={2015},
  volume={5},
  pages={1-54}
}
This paper describes the complete implementation of a blind image denoising algorithm, that takes any digital image as input. In a first step the algorithm estimates a Signal and Frequency Dependent (SFD) noise model. In a second step, the image is denoised by a multiscale adaptation of the Non-local Bayes denoising method. We focus here on a careful analysis of the denoising step and present a detailed discussion of the influence of its parameters. Extensive commented tests of the blind… CONTINUE READING
Highly Influential
This paper has highly influenced 10 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 38 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 27 extracted citations

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…