A Comparative Study in Wavelets, Curvelets and Contourlets as Denoising Biomedical Images

Автор: Mohamed Ali HAMDI

Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp

Статья в выпуске: 1 vol.4, 2012 года.

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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 contourlets transform outperforms the curvelets and wavelet transform in terms of signal noise ratio

Denoising, wavelet, curvelet, contourlet, transform, biomedical image.

Короткий адрес: https://readera.ru/15012210

IDR: 15012210

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