Guassian and Speckle Noise Removal from Ultrasound Images using Bivariate Shrinkage by Dual Tree Complex Wavelet Transform

Devanand Bhonsle*, Vivek Chandra**, G. R. Sinha***
* Assistant Professor, Department of EEE, Shri Shankaracharya Technical Campus Bhilai, India.
** Professor, Department of EEE, Chhatrapati Shivaji Innstitute of Technology, Durg, India.
*** Professor, Department of ETC, Shri Shankaracharya Technical Campus Bhilai, India.
Periodicity:April - June'2015
DOI : https://doi.org/10.26634/jip.2.2.3400

Abstract

This paper introduces bivariate thresholding based Dual Tree Complex Wavelet Transform (DTCWT) technique to remove both Gaussian and speckle noise signals. Since both types of noises are different in nature hence it is difficult to remove them by using single filter. In this paper DTCWT approach is used to denoise ultrasound images. DTCWT based filter removes Additive White Gaussian Noise (AWGN) effectively. Since speckle noise is multiplicative in nature; it is converted into logarithmic transform before applying wavelet transform. Bivariate shrinkage (soft thresholding) function is used.

Keywords

Dual Tree Complex Wavelet Transform (DTCWT), Bivariate Thresholding, Additive White Gaussian Noise (AWGN), Speckle Noise, Peak Signal to Noise Ration (PSNR).

How to Cite this Article?

Bhonsle, D., Chandra, V., and Sinha, G.R. (2015). Guassian and Speckle Noise Removal from Ultrasound Images using Bivariate Shrinkage by Dual Tree Complex Wavelet Transform. i-manager’s Journal on Image Processing, 2(2), 1-5. https://doi.org/10.26634/jip.2.2.3400

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