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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17559
Title: Denoising of ultrasound images using curvelet transform
Authors: Devarapu K.V.
Murala S.
Kumar V.
Published in: Proceedings of 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Abstract: Ultrasound imaging utilizes sound waves reflected from different organs of the body to give local details and important diagnostic information on the human body. However, using ultrasound images for diagnosis is difficult because of the existence of speckle noise in the image. The speckle noise is due to interference between coherent waves which are backscattered by targeted surfaces and arrive out of phase at the sensor. This hampers the perception and the extraction of fine details from the image. Speckle reduction/filtering i.e. visual enhancement techniques are used for enhancing the visual quality of the images. In this paper we propose a Curvelet based Denoising Algorithm for Ultrasound Images. The results on clinical ultrasound images indicate effective edge preservation in comparison to filtering techniques using the Adaptive Filters and SRAD. ©2010 IEEE.
Citation: Proceedings of 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010, (2010), 447- 451. Singapore
URI: https://doi.org/10.1109/ICCAE.2010.5451210
http://repository.iitr.ac.in/handle/123456789/17559
Issue Date: 2010
Keywords: Curvelet transform
Diffusion techniques
Frost filter
Lee filter
Ultrasound imaging
ISBN: 9781424455850
Author Scopus IDs: 36068955300
26639647100
25646515800
Author Affiliations: Devarapu, K.V., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee-247 667, Uttarakhand, India
Murala, S., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee-247 667, Uttarakhand, India
Kumar, V., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee-247 667, Uttarakhand, India
Corresponding Author: Devarapu, K. V.; Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee-247 667, Uttarakhand, India; email: rayuduee@gmail.com
Appears in Collections:Conference Publications [EE]

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