Improved multi-focus image fusion using online convolutional sparse coding based on sample-dependent dictionary

Multi-focus image fusion merges multiple images captured from different focused regions of a scene to create a fully-focused image. Convolutional sparse coding (CSC) methods are commonly employed for accurate extraction of focused regions, but they often disregard computational costs. To overcome th...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Signal processing. Image communication Jg. 130; S. 117213
Hauptverfasser:	He, Sidi, Zhang, Chengfang, Li, Haoyue, Feng, Ziliang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2025
Schlagworte:	CBPDN Detail preservation Multi-focus image fusion Online convolutional sparse coding Sample-dependent dictionary Sparse representation Detail preservation Sparse representation Multi-focus image fusion Online convolutional sparse coding CBPDN Sample-dependent dictionary
ISSN:	0923-5965
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!