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Performance Comparison of Various Speckle noiseRemoval Filters for Ultrasound Images

P. Nirmaladevi*, R. Asokan**, S.Govindaraj***, S. Usha****

** Principal, Kongunadu College of Engineering and Technology, Namakkal, Thiruchirapalli.

*** Final year postgraduate Student, School of Electrical Sciences, Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode.

**** Assistant Professor, School of Electrical Sciences, Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode.

Periodicity:June - August'2013
DOI : https://doi.org/10.26634/jele.3.4.2394

Abstract

In this paper, we propose a wavelet denoising algorithm based on adaptive wavelet thresholding technique for ultrasound images. The adaptive wavelet thresholding is a Bayesian frame work and wavelet coefficients are assumed to be General Gaussian Distribution function (GGD). The proposed algorithm performs better when compared with other shrinking technique like Visu shrink, Level shrink, and Sure shrink. This approach preserves edges and also the computational complexity is less. The image quality is measured using Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Universal Quality Index (UQI).

Keywords

Wavelet Transform, Wavelet Denoising, Adaptive Wavelet Thresholding, Shrinkage Methods

How to Cite this Article?

Nirmaladevi, C., Asokan, R., Govindaraj, S., and Usha, S. (2013). Performance Comparison Of Various Speckle Noise Removal Filters For Ultrasound Images. i-manager’s Journal on Electronics Engineering, 3(4), 19-24. https://doi.org/10.26634/jele.3.4.2394

References

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Performance Comparison of Various Speckle noiseRemoval Filters for Ultrasound Images

Abstract

Keywords

How to Cite this Article?

References

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