2015 International Conference on Machine Learning and Cybernetics (ICMLC) 2015
DOI: 10.1109/icmlc.2015.7340906
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Morphological component analysis and least squares support vector machine for image super-resolution

Abstract: HI J KLMJ N ÿ 9 OÿJ PQ I ÿRLRSK ÿLÿOSTÿLRRKULMPÿQ I ÿRKURUI SVÿW UKÿQ XLYSÿ I ZRSK KSI U[ ZJ Q UOÿH\ÿMUXHQ OQ OYÿXUKRPU[ UYQ ML[ ÿMUXRUOSOJ ÿ LOL[ \I Q I ÿLOVÿ[ SLI J ÿI ]ZLKSI ÿI ZRRUKJ ÿ^SMJ UKÿXLMPQ OSI _ ÿPSÿ RKURUI SVÿ LRRKULMPÿ W UKÿ Q XLYSÿ I ZRSK KSI U[ ZJ Q UOÿ MUOI Q I J I ÿ UW ÿ J PKSSÿ I J SRI _ ÿ Q KI J ÿ ZOVSKÿ XUKRPU[ UYQ ML[ ÿ MUXRUOSOJ ÿ LOL[ \I Q I ÿ J PSÿ PQ YPÿ KSI U[ ZJ Q UOÿLOVÿ[ UTÿKSI U[ ZJ Q UOÿQ XLYSI ÿLKSÿQ OVQQ VZL[ [ \ÿ VSMUXRUI SVÿQ OJ UÿPQ YPÿLOVÿ[ UTÿW KS]ZSOM\ÿMUXRUOSOJ I ÿ KSI… Show more

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Cited by 2 publications
(3 citation statements)
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“…In his latest research in 2022, Fazal et al proposed a task allocation technique based on threshold levels. 25 Its use of the threshold level as a reference for task acceptance, the scheme has led to a significant improvement in the resource utilization of the system.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…In his latest research in 2022, Fazal et al proposed a task allocation technique based on threshold levels. 25 Its use of the threshold level as a reference for task acceptance, the scheme has led to a significant improvement in the resource utilization of the system.…”
Section: Related Workmentioning
confidence: 99%
“…The simulation platform is established based on Lin and Hsyu's design. 25 As shown in Figure 3, the meaning of the parameters in the figure is as follows:…”
Section: Simulation Platformmentioning
confidence: 99%
“…In 2014, an information fusion mechanism based on granularity of information was proposed by Z J Zhang, which greatly reduces the transmission data volume and energy consumption [2]. In 2015, a multi-component image fusion method based on Morphological Component Analysis (MCA) in WMSN was proposed, which reduces the amount of image transmission by effectively decomposing the visible image into smooth and texture components [3]. However, most of the methods only consider spatial correlation.…”
Section: Introductionmentioning
confidence: 99%