Infrared polarization and intensity image fusion based on bivariate BEMD and sparse representation

The issue of infrared polarization and intensity images fusion has shown important value in both military and civilian areas. In this paper, a novel fusion approach is addressed by reasonably integrating the common and innovation features between the above two patterns of images, employing Bivariate...

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Veröffentlicht in:	Multimedia tools and applications 2021, Vol.80 (3), p.4455-4471
Hauptverfasser:	Zhu, Pan, Liu, Lu, Zhou, Xinglin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bivariate analysis Computer Communication Networks Computer Science Computer vision Data Structures and Information Theory Decomposition Feature extraction Image processing Image reconstruction Infrared imagery Innovations Laboratories Low frequencies Methods Multimedia Multimedia Information Systems Polarization Representations Special Purpose and Application-Based Systems Visual aspects
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