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Mohamed Ali HAMDI

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

E-mail: mohamedalihamdi@yahoo.fr

Website:

Research Interests: Image Processing, Computer systems and computational processes, Computational Science and Engineering

Biography

Mohamed Ali HAMDI was born in Tunisia, received the Ph.D. degree in image processing, from the National University of engineering of TUNIS; He is Assistant Professor of Applied and Computational Mathematics and electronic, National institute of applied sciences and technology. His research interests are in the areas of digital signal processing (DSP), statistical estimation and their applications to signal and image processing and scientific computing.

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

By Mohamed Ali HAMDI

DOI: https://doi.org/10.5815/ijigsp.2012.01.06, Pub. Date: 8 Feb. 2012

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

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