A novel RPCA method using log-weighted nuclear and L2,1 norms combined with contrast-limited adaptive histogram equalization (CLAHE) for high dimensional natural and medical image data

dc.contributor.authorLikassa, Habte Tadesse
dc.contributor.authorChen, Ding-Geng (Din)
dc.contributor.authorSun, Dayu
dc.date.accessioned2025-03-14T10:27:58Z
dc.date.available2025-03-14T10:27:58Z
dc.date.issued2024-11-26
dc.description.abstractPlease read abstract in the article.en_US
dc.description.departmentStatisticsen_US
dc.description.librarianam2024en_US
dc.description.sdgSDG-09: Industry, innovation and infrastructureen_US
dc.description.sponsorshipSouth Africa National Research Foundation (NRF) and South Africa Medical Research Council (SAMRC).en_US
dc.description.urihttps://www.lifescienceglobal.com/journals/international-journal-of-statistics-in-medical-researchen_US
dc.identifier.citationLikassa, H.T., Chen, D.G., Sun, D. 2024, 'A novel RPCA method using log-weighted nuclear and L2,1 norms combined with contrast-limited adaptive histogram equalization (CLAHE) for high dimensional natural and medical image data', International Journal of Statistics in Medical Research, vol. 13, pp. 275-290. https://DOI.org/10.6000/1929-6029.2024.13.25.en_US
dc.identifier.issn1929-6029
dc.identifier.other10.6000/1929-6029.2024.13.25
dc.identifier.urihttp://hdl.handle.net/2263/101507
dc.language.isoenen_US
dc.publisherLifescience Globalen_US
dc.rights© 2024 Likassa et al. This is an open-access article licensed under the terms of the Creative Commons Attribution License.en_US
dc.subjectLow-ranken_US
dc.subjectComputational statisticsen_US
dc.subjectMedical dataen_US
dc.subjectRobust principal component analysis (RPCA)en_US
dc.subjectSingular value decomposition (SVD)en_US
dc.subjectLog weighted nuclear norm (LWNN)en_US
dc.subjectAlternating direction method of multipliers (ADMM)en_US
dc.subjectState-of-the-art method (SOTA)en_US
dc.subjectContrast limited AHE (CLAHE)en_US
dc.subjectAdaptive histogram equalization (AHE)en_US
dc.subjectSDG-09: Industry, innovation and infrastructureen_US
dc.titleA novel RPCA method using log-weighted nuclear and L2,1 norms combined with contrast-limited adaptive histogram equalization (CLAHE) for high dimensional natural and medical image dataen_US
dc.typeArticleen_US

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