FETAL ULTRASOUND IMAGE DENOISING USING CURVELET TRANSFORM

ICTACT Journal on Image and Video Processing ( Volume: 5 , Issue: 3 )

Abstract

vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff2d74190000003982030001000100
The random speckle noise in the acquired fetal ultrasound images is caused by the interference of reflected ultrasound wave fronts. The presence of speckle noise will degrade the quality of the image and even hide image details, which in turn affect the process of image segmentation, feature extraction and recognition and most importantly disease diagnosis. The standardization of measurements from the fetal ultrasound images will help the physicians to make correct diagnosis. The accuracy of diagnosis is possible only when the image is noise free. Hence it is very much important to perform filtering of the speckle noise. It is proposed that curvelet transform serves as a better edge preserving filter compared to other speckle reducing anisotropic diffusion filters. Curvelet transform is designed to handle images which involve curves using only a less number of coefficients. Hence a multiscale representation called curvelet transform is applied to enhance the visual quality of the ultrasound images. The experimented results indicate that the proposed curvelet denoising suppresses the noise effectively both in quantitative and visual means by producing high PSNR.

Authors

J. Nithya1, M. Madheswaran2
K. S. Rangasamy College of Technology, India1, Mahendra Engineering College, India2

Keywords

Speckle Noise, Despeckling, Curvelet Transform, Anisotropic Diffusion

Published By
ICTACT
Published In
ICTACT Journal on Image and Video Processing
( Volume: 5 , Issue: 3 )
Date of Publication
February 2015
Pages
951-955

ICT Academy is an initiative of the Government of India in collaboration with the state Governments and Industries. ICT Academy is a not-for-profit society, the first of its kind pioneer venture under the Public-Private-Partnership (PPP) model

Contact Us

ICT Academy
Module No E6 -03, 6th floor Block - E
IIT Madras Research Park
Kanagam Road, Taramani,
Chennai 600 113,
Tamil Nadu, India

For Journal Subscription: journalsales@ictacademy.in

For further Queries and Assistance, write to us at: ictacademy.journal@ictacademy.in