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dc.contributor.authorDeng, Lizhen
dc.contributor.authorZhou, Zhetao
dc.contributor.authorXu, Guoxia
dc.contributor.authorZhu, Hu
dc.contributor.authorBao, Bing-Kun
dc.date.accessioned2023-01-17T13:30:14Z
dc.date.available2023-01-17T13:30:14Z
dc.date.created2021-03-22T16:42:00Z
dc.date.issued2020
dc.identifier.citationEURASIP Journal on Wireless Communications and Networking. 2020, 2020 (1), 1-17.en_US
dc.identifier.issn1687-1472
dc.identifier.urihttps://hdl.handle.net/11250/3044065
dc.description.abstractRecently, many super-resolution algorithms have been proposed to recover high-resolution images to improve visualization and help better analyze images. Among them, total variation regularization (TV) methods have been proven to have a good effect in retaining image edge information. However, these TV methods do not consider the temporal correlation between images. Our algorithm designs a new TV regularization (TV2++) to take advantage of the time dimension information of the images, further improving the utilization of useful information in the images. In addition, the union of global low rank regularization and TV regularization further enhances the image super-resolution recovery. And we extend the exponential-type penalty (ETP) function on singular values of a matrix to enhance low-rank matrix recovery. A novel image super-resolution algorithm based on the ETP norm and TV2++ regularization is proposed. And the alternating direction method of multipliers (ADMM) is applied to solve the optimization problems effectively. Numerous experimental results prove that the proposed algorithm is superior to other algorithms.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleTV2++: a novel spatial-temporal total variation for super resolution with exponential-type normen_US
dc.title.alternativeTV2++: a novel spatial-temporal total variation for super resolution with exponential-type normen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber1-17en_US
dc.source.volume2020en_US
dc.source.journalEURASIP Journal on Wireless Communications and Networkingen_US
dc.source.issue1en_US
dc.identifier.doi10.1186/s13638-020-01815-0
dc.identifier.cristin1899990
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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