Joint patch clustering-based adaptive dictionary and sparse representation for multi-modality image fusion

For the image fusion method using sparse representation, the adaptive dictionary and fusion rule have a great influence on the multi-modality image fusion, and the maximum L 1 norm fusion rule may cause gray inconsistency in the fusion result. In order to solve this problem, we proposed an improved...

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Veröffentlicht in:	Machine vision and applications Jg. 33; H. 5
Hauptverfasser:	Wang, Chang, Wu, Yang, Yu, Yi, Zhao, Jun Qiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2022 Springer Nature B.V
Schlagworte:	Adaptive learning Algorithms Clustering Communications Engineering Computer Science Computer vision Dictionaries Image processing Image Processing and Computer Vision Image quality Infrared imagery Machine learning Networks Original Paper Pattern Recognition Representations Robustness Vision systems Adaptive learning dictionary Sparse representation Multi-modality Fusion metric Image fusion
ISSN:	0932-8092, 1432-1769
Online-Zugang:	Volltext
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