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...

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Vydané v:	Signal processing. Image communication Ročník 130; s. 117213
Hlavní autori:	He, Sidi, Zhang, Chengfang, Li, Haoyue, Feng, Ziliang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2025
Predmet:	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
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