doi: 10.7763/IJCTE.2009.V1.2
Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance
- 1Department of Electronics and Communication Engineering, Thiyagarajar College of Engineering, Madurai, Tamilnadu, 625 015, India
- 2Department of Electronics and Communication Engineering, Sona College of technology, Salem, Tamilnadu, 636 005, India
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.
Keywords
- Medical imaging
- Speckle noise
- Ultrasound images
- Wavelet Thresholding
How to 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. https://doi.org/10.7763/IJCTE.2009.V1.2
Copyright & License
Copyright © 2009 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).