Image Fusion With Convolutional Sparse Representation

As a popular signal modeling technique, sparse representation (SR) has achieved great success in image fusion over the last few years with a number of effective algorithms being proposed. However, due to the patch-based manner applied in sparse coding, most existing SR-based fusion methods suffer fr...

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Veröffentlicht in:	IEEE signal processing letters Jg. 23; H. 12; S. 1882 - 1886
Hauptverfasser:	Liu, Yu, Chen, Xun, Ward, Rabab K., Jane Wang, Z.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Computer vision Convolution Convolutional sparse representation (CSR) Decomposition detail preservation Image fusion Image quality Image sensors Representations shift invariance Signal processing algorithms Signal resolution sparse representation (SR) Transforms Visual observation
ISSN:	1070-9908, 1558-2361
Online-Zugang:	Volltext
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