A comparative study in wavelets, curvelets and contourlets as denoising biomedical images

• Autorzy: Hamdi M. A.
• Języki publikacji: EN

Abstrakty

EN

A special member of the emerging family of multi scale geometric transforms is the contourlet transform which was developed in the last few years in an attempt to overcome inherent limitations of traditional multistage representations such as curvelets and wavelets. The biomedical images were denoised using firstly wavelet than curvelets and finally contourlets transform and results are presented in this paper. It has been found that the contourlets transform outperforms the curvelets and wavelet transform in terms of signal noise ratio.

Słowa kluczowe

EN

biomedical images; wavelet; wavelet transform; contourlet transform; curvelet transform

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2011
• Tom: Vol. 16, no 3-4
• Strony: 13--19
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Hamdi M. A.

• Nationale d'Ingenieur de Tunis Laboratoires LTSIRS,

Bibliografia

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