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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2009 Vol.1(1): 7-12 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2009.V1.2

Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance

S. Sudha, G. R. Suresh, and R. Sukanesh
Abstract—In medical image processing, image denoising has become a very essential exercise all through the diagnose. Arbitration between the perpetuation of useful diagnostic information and noise suppression must be treasured in medical images. In general we rely on the intervention of a proficient to control the quality of processed images. In certain cases, for instance in Ultrasound images, the noise can restrain information which is valuable for the general practitioner. Consequently medical images are very inconsistent, and it is crucial to operate case to case. This paper presents a wavelet-based thresholding scheme for noise suppression in ultrasound images. Quantitative and qualitative comparisons of the results obtained by the proposed method with the results achieved from the other speckle noise reduction techniques demonstrate its higher performance for speckle reduction.

Index Terms—Medical imaging, Speckle noise, Ultrasound images, Wavelet Thresholding

R. Sukanesh is with the Department of Electronics and Communication Engineering, Thiyagarajar College of Engineering, Madurai, Tamilnadu, 625 015, India
S. Sudha is with the Department of Electronics and Communication Engineering, Sona College of technology, Salem, Tamilnadu, 636 005, India (phone: 9952483735);
G. R. Suresh is with Department of Electronics and Communication Engineering, Sona College of technology, Salem, Tamilnadu, 636 005, India (phone: 9600983735); 

[PDF]

Cite: S.Sudha, G.R.Suresh and R.Sukanesh, "Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance," International Journal of Computer Theory and Engineering vol. 1, no. 1, pp. 7-12, 2009.
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