BEMD Based Ultrasound Image Speckle Reduction Technique Using Pixel-Wise Wiener Filtering

dc.contributor.authorGupta, Bhawna
dc.contributor.authorKhandelwa, Vineet
dc.date.accessioned2021-07-16T10:21:28Z
dc.date.available2021-07-16T10:21:28Z
dc.date.issued2021
dc.description.abstractIn this paper, an improved Bidimensional Empirical Mode Decomposition (BEMD) based speckle reduction technique for ultrasound images has been proposed. The noisy image has been decomposed into its Intrinsic Mode Functions (IMFs) and a~residue. The noise component of the low order IMFs is removed with the pixel-wise Wiener filtering. The image is reconstructed with these filtered low order IMFs, high order IMFs and the residue. The performance of the proposed method has been tested on synthetic as well as real ultrasound images having noise components of different variance. The experimental results show that the proposed algorithm performs better than other existing methods for synthetic images as well as real ultrasound images in terms of various image quality matrices.cs
dc.identifier.citationAdvances in electrical and electronic engineering. 2021, vol. 19, no. 2, p. 168 - 178 : ill.cs
dc.identifier.doi10.15598/aeee.v19i2.4100
dc.identifier.issn1336-1376
dc.identifier.issn1804-3119
dc.identifier.urihttp://hdl.handle.net/10084/145069
dc.language.isoencs
dc.publisherVysoká škola báňská - Technická univerzita Ostravacs
dc.relation.ispartofseriesAdvances in electrical and electronic engineeringcs
dc.relation.urihttps://doi.org/10.15598/aeee.v19i2.4100cs
dc.rights© Vysoká škola báňská - Technická univerzita Ostrava
dc.rightsAttribution-NoDerivatives 4.0 International*
dc.rights.accessopenAccesscs
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/*
dc.subjectBEMDcs
dc.subjectnoise reductioncs
dc.subjectspecklecs
dc.subjectultrasoundcs
dc.subjectWienercs
dc.titleBEMD Based Ultrasound Image Speckle Reduction Technique Using Pixel-Wise Wiener Filteringcs
dc.typearticlecs
dc.type.statusPeer-reviewedcs
dc.type.versionpublishedVersioncs

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