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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7428
Title: Image quality based comparative evaluation of wavelet filters in ultrasound speckle reduction
Authors: Thakur A.
Anand, Radhey Shyam
Published in: Digital Signal Processing: A Review Journal
Abstract: This paper presents the comparative study of various wavelet filter based denoising methods according to different thresholding values applied to ultrasound images. An original image is transformed into a multi scale wavelet domain and the wavelet coefficients are processed by a soft thresholding method. The denoised image is the output image obtained from the inverse wavelet transform of the threshold coefficients using Donoho's method. It has been observed that such denoising methods are effective in the sense that they preserve the edge details besides suppressing the noise. The comparative evaluation of the denoising performance is shown using statistical significance tests for different wavelet filters. Image quality parameters such as peak signal-to-noise ratio, normalized mean square error, and correlation coefficient have been used to evaluate the performance of wavelet filters. The performance has also been compared with the adaptive weighted median filtering method. © 2005 Elsevier Inc. All rights reserved.
Citation: Digital Signal Processing: A Review Journal (2005), 15(5): 455-465
URI: https://doi.org/10.1016/j.dsp.2005.01.002
http://repository.iitr.ac.in/handle/123456789/7428
Issue Date: 2005
Publisher: Elsevier Inc.
Keywords: Denoising
Thresholding
Ultrasound image
Wavelet filter
ISSN: 10512004
Author Scopus IDs: 56248585400
56363331000
Author Affiliations: Thakur, A., Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, UA, India
Anand, R.S., Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, UA, India
Funding Details: The authors are thankful to the Head, Department of Electrical Engineering, Indian Institute of Technology, Roorkee, for providing the required computational and experimental facilities. The financial assistance provided by the Council of Scientific and Industrial Research, New Delhi, India, is gratefully acknowledged.
Corresponding Author: Anand, R.S.; Department of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, UA, India; email: anandfee@iitr.ernet.in
Appears in Collections:Journal Publications [EE]

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