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

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Author(s)

Mohamed Ali HAMDI 1,*

1. Department of Physics Engineering, Institut National des Sciences Appliquées et de Technologie Ecole Nationale d’Ingénieur de Tunis Tunis, Tunisia

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2012.01.06

Received: 27 Aug. 2011 / Revised: 13 Oct. 2011 / Accepted: 15 Dec. 2011 / Published: 8 Feb. 2012

Index Terms

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

Abstract

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

Cite This Paper

Mohamed Ali HAMDI,"A Comparative Study in Wavelets, Curvelets and Contourlets as Denoising Biomedical Images", IJIGSP, vol.4, no.1, pp.44-50, 2012. DOI: 10.5815/ijigsp.2012.01.06 

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