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

2015 ◽  
Vol 2 (2) ◽  
pp. 1-5
Author(s):  
Devanand Bhonsle ◽  
◽  
Vivek Chandra ◽  
G.R. Sinha ◽  
◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Speckle Noise ◽  
Noise Removal ◽  
Ultrasound Images ◽  
Complex Wavelet Transform ◽  
Complex Wavelet ◽  
Bivariate Shrinkage

An Image De-Noising Algorithm Based on the Dual-Tree Complex Wavelet

2011 ◽  
Vol 403-408 ◽  
pp. 1412-1415
Author(s):  
Yong Min Ning ◽  
Ling Ling Li ◽  
Hua Shi ◽  
Jing Chen
Keyword(s):  
Wavelet Transform ◽  
Invariance Property ◽  
Threshold Strategy ◽  
Complex Wavelet Transform ◽  
Shrinkage Function ◽  
Parents And Children ◽  
Shift Invariance ◽  
Complex Wavelet ◽  
Bivariate Shrinkage ◽  
Visual Results

In this paper, an image de-noising algorithm based on the Dual-Tree Complex Wavelet Transform (DT-CWT) is proposed, which takes the advantage of redundant coefficients transformed by DT-CWT. The model of bivariate shrinkage function is used to provide a nonlinear threshold strategy. It exploits the dependency between inter-scale parents and children coefficients to recover the original coefficients more accurate. With the shift-invariance property of DT-CWT coefficients, the algorithm prevents the Gibbs effect caused by the thresholding, which further improves the reconstructed quality. Experiment results show that the de-noised image using DT-CWT can achieve more than 1dB prior to DWT with impressive visual results.

Despeckling of medical ultrasound images using Daubechies complex wavelet transform

2010 ◽  
Vol 90 (2) ◽  
pp. 428-439 ◽  
Author(s):  
Ashish Khare ◽  
Manish Khare ◽  
Yongyeon Jeong ◽  
Hongkook Kim ◽  
Moongu Jeon
Keyword(s):  
Wavelet Transform ◽  
Ultrasound Images ◽  
Medical Ultrasound ◽  
Complex Wavelet Transform ◽  
Daubechies Complex Wavelet Transform ◽  
Complex Wavelet
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