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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/6899
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dc.contributor.authorSimon M.P.-
dc.contributor.authorBhutada G.G.-
dc.contributor.authorAnand, Radhey Shyam-
dc.date.accessioned2020-10-09T04:41:58Z-
dc.date.available2020-10-09T04:41:58Z-
dc.date.issued2011-
dc.identifier.citationInternational Journal of Biomedical Engineering and Technology (2011), 7(2): 174-193-
dc.identifier.issn17526418-
dc.identifier.urihttps://doi.org/10.1504/IJBET.2011.043178-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/6899-
dc.description.abstractIn 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. Copyright © 2011 Inderscience Enterprises Ltd.-
dc.language.isoen_US-
dc.publisherInderscience Publishers-
dc.relation.ispartofInternational Journal of Biomedical Engineering and Technology-
dc.subjectImage enhancement-
dc.subjectSpeckle reduction-
dc.subjectSpeckle reduction anisotropic diffusion-
dc.subjectSRAD-
dc.subjectUltrasound imaging-
dc.subjectWavelet-transform-based thresholding neural network-
dc.subjectWT-TNN-
dc.titleA comparative analysis of diffusion-based and wavelet-based approaches for despeckling of ultrasound medical images-
dc.typeArticle-
dc.scopusid53872049000-
dc.scopusid36105308900-
dc.scopusid56363331000-
dc.affiliationSimon, M.P., Department of Electronics and Communication, Sree Buddha College of Engineering for Women, Elavumthitta 691553, Kerala, India-
dc.affiliationBhutada, G.G., Biomedical Laboratory, Department of Electrical Engineering, IIT Roorkee 247667, India-
dc.affiliationAnand, R.S., Biomedical Laboratory, Department of Electrical Engineering, IIT Roorkee 247667, India-
dc.description.correspondingauthorSimon, M.P.; Department of Electronics and Communication, Sree Buddha College of Engineering for Women, Elavumthitta 691553, Kerala, India; email: manojpsimon2009@gmail.com-
Appears in Collections:Journal Publications [EE]

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