Medical Image Denoising using X-lets

  title={Medical Image Denoising using X-lets},
  author={Latha Parthiban and R. Ganapathy Subramanian},
  journal={2006 Annual IEEE India Conference},
Wavelets are proved to be well adapted for 1-D signal but can only capture limited directional information in 2D due to its poor orientation selectivity. Transforms like curvelets and contourlets have very high degree of directional specificity which is necessary for medical images. These transforms are based on certain anisotropic scaling principle which is quite different from the isotropic scaling of wavelets. Simulation test carried out on medical images like ultrasound images, magnetic… CONTINUE READING


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Publications referenced by this paper.
Showing 1-7 of 7 references

Do , “ Directional multiscale modeling of images using the contourlet transform

Duncan D. Po, N. Minh
IEEE Trans . Image Proc . • 2005

A new image denoising method based on the dependency wavelet coefficients

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826) • 2004

Framing pyramids

IEEE Trans. Signal Processing • 2003

Denoising and soft - thresholding

Marten Jansen
IEEE Transactions on Information Theory • 1995

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