A comparative analysis of diffusion-based and wavelet-based approaches for despeckling of ultrasound medical images
by Manoj P. Simon; G.G. Bhutada; R.S. Anand
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 7, No. 2, 2011

Abstract: In this paper, Speckle Reduction Anisotropic Diffusion (SRAD) and the modified SRAD approach from spatial domain theme and Wavelet-Transform-based Thresholding Neural Network (WT-TNN) approach from transform domain theme have been extensively analysed based on the speckle suppression and edge preservation of ultrasound medical images and standard images. The results of such comparative analysis of two themes indicate that predicting the number of iteration required for optimum performance is a major concern for SRAD and MSRAD, whereas in case of WT-TNN approach, more despeckling time is a major limitation although it gives better speckle suppression than SRAD and MSRAD.

Online publication date: Wed, 21-Jan-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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:

    Username:        Password:         

Forgotten your 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