An advanced wavelet decomposition based denoising technique for de-speckling of all ultrasound images Online publication date: Wed, 31-Jan-2024
by Mayank Kumar Singh; Indu Saini; Neetu Sood
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 44, No. 1, 2024
Abstract: The ultrasound (US) image is well known for accessibility and low cost. Most importantly it is the only diagnostic technique which is radiation free. But, the presence of speckle noise, thoroughly limits its application for diagnosis. This paper aims to remove the noise using wavelet transformation. The US were transformed using discrete wavelet transform after log transformation. A threshold was obtained using the estimated noise variance for each sub-band. A multi-scale thresholding function was proposed to increase the thresholding flexibility. A large range of US were used (12,400, 926, 780, and 1,000 images of foetus, liver, breast and synthetic images respectively) to evaluate the performance. When compared with other thresholding techniques the proposed method has shown a maximum improvement of 172%, 340%, and 380% in peak signal to noise ratio, mean square error, and structural similarity index. With the referenceless metrics our technique has shown 47% improvement in US quality.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook