BMFusion: Bridging the Gap Between Dark and Bright in Infrared-Visible Imaging Fusion

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Pubblicato in:	Electronics vol. 13, no. 24 (2024), p. 5005
Autore principale:	Liu, Chengwen
Altri autori:	Liao, Bin, Chang, Zhuoyue
Pubblicazione:	MDPI AG
Soggetti:	Feature extraction Visual tasks Performance enhancement Semantics Deep learning Photodegradation Image reconstruction Visual perception Task complexity Brightness Visual fields Image degradation Attention Night Infrared imagery Integrated approach Computer vision Modules Algorithms Image quality Infrared imaging Light Visual perception driven algorithms
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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