Contourlet domain image denoising using normal inverse gaussian distribution

@article{Sadreazami2014ContourletDI,
  title={Contourlet domain image denoising using normal inverse gaussian distribution},
  author={Hamidreza Sadreazami and M. Omair Ahmad and M. N. Shanmukha Swamy},
  journal={2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE)},
  year={2014},
  pages={1-4}
}
A new contourlet-based method is introduced for reducing noise in images corrupted by additive white Gaussian noise. It is shown that a symmetric normal inverse Gaussian distribution is more suitable for modeling the contourlet coefficients than formerly-used generalized Gaussian distribution. To estimate the noise-free coefficients, a Bayesian maximum a posteriori estimator is developed utilizing the proposed distribution. In order to estimate the parameters of the distribution, a moment-based… CONTINUE READING

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The normal inverse Gaussian distributions as a flexible model for heavy tailed processes

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