Removal of Correlated Noise by Modeling the Signal of Interest in the Wavelet Domain

@article{Goossens2009RemovalOC,
  title={Removal of Correlated Noise by Modeling the Signal of Interest in the Wavelet Domain},
  author={B. Goossens and A. Pi{\vz}urica and W. Philips},
  journal={IEEE Transactions on Image Processing},
  year={2009},
  volume={18},
  pages={1153-1165}
}
  • B. Goossens, A. Pižurica, W. Philips
  • Published 2009
  • Mathematics, Computer Science, Medicine
  • IEEE Transactions on Image Processing
  • Images, captured with digital imaging devices, often contain noise. In literature, many algorithms exist for the removal of white uncorrelated noise, but they usually fail when applied to images with correlated noise. In this paper, we design a new denoising method for the removal of correlated noise, by modeling the significance of the noise-free wavelet coefficients in a local window using a new significance measure that defines the ldquosignal of interestrdquo and that is applicable to… CONTINUE READING
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