MR image enhancement using an extended neighborhood filter

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dc.contributor.authorPaul, JS
dc.contributor.authorMathew, JJ
dc.contributor.authorKesavadas, C
dc.date.accessioned2017-03-10T03:27:40Z
dc.date.available2017-03-10T03:27:40Z
dc.date.issued2014
dc.description.abstractA filtering scheme is proposed for contrast enhancement within a Region-Of-Interest (ROI) containing unconnected foreground regions of narrow spatial extent such as multiple sclerosis, or ischemic lesions in Magnetic Resonance (MR) images. This involves determination of localized multiplicative weights in the spatial domain using an extended set of neighborhood directions. The degree of enhancement is shown to depend on the number of such directions, as determined from the size of a rectangular lattice, together with a threshold value used for computing the multiplicative weights. Best performance in respect of visual quality is achieved by choosing a threshold corresponding to the maximum Contrast Ratio, and lattice size corresponding to the maximum Peak Signal-to-Noise Ratio within the ROI. It is shown that the proposed filter overrides Localized Histogram based Equalization (LHE) based techniques in terms of computational complexity, preservation of structural similarity and attaining the maximum extent of contrast stretching. (C) 2014 Elsevier Inc. All rights reserved.
dc.identifier.citation25 ,7;1604-1615en_US
dc.identifier.uri10.1016/j.jvcir.2014.07.004
dc.identifier.urihttps://dspace.sctimst.ac.in/handle/123456789/10090
dc.publisherJOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
dc.subjectComputer Science
dc.titleMR image enhancement using an extended neighborhood filter
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