Structure-aware image fusion

Li, W; Xie, Y; Zhou, H; Han, Y; Zhan, K

Structure-aware image fusion

Li, W Xie, Y Zhou, H Han, Y Zhan, K

Permalink

Publication Type:: Journal Article
Citation:: Optik, 2018, 172 pp. 1 - 11
Issue Date:: 2018-11-01

Closed Access

	Filename	Description	Size
	1-s2.0-S003040261830932X-main.pdf	Published Version	5.13 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Li, W	en_US
dc.contributor.author	Xie, Y	en_US
dc.contributor.author	Zhou, H	en_US
dc.contributor.author	Han, Y	en_US
dc.contributor.author	Zhan, K https://orcid.org/0000-0002-8000-5682	en_US
dc.date.issued	2018-11-01	en_US
dc.identifier.citation	Optik, 2018, 172 pp. 1 - 11	en_US
dc.identifier.issn	0030-4026	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132606
dc.description.abstract	© 2018 Elsevier GmbH Most existing multi-modal image fusion methods require multi-scale transforms. However, this requirement does not necessarily lead to the fusion result containing the original intensity of source images, and multi-scale transforms need a high computational complexity. In this paper, we tackle the problem of multi-modal image fusion in the spatial domain with a low computational complexity. A salient structure extraction method and a structure-preserving filter are developed to fuse medical images. The developed structure-preserving filter has a property that it recovers small-scale details of the guidance image in the neighborhood of large-scale structures of the input image. Based on the property of the structure-preserving filter, the fusion result is constructed by combining the output of the structure-preserving filter and the source images. Experiments are conducted to demonstrate the effectiveness of the proposed method in comparison with the state-of-the-art approaches in terms of three performance metrics.	en_US
dc.relation.ispartof	Optik	en_US
dc.relation.isbasedon	10.1016/j.ijleo.2018.06.123	en_US
dc.subject.classification	Optics	en_US
dc.title	Structure-aware image fusion	en_US
dc.type	Journal Article
utslib.citation.volume	172	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0205 Optical Physics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	172	en_US

Abstract:

© 2018 Elsevier GmbH Most existing multi-modal image fusion methods require multi-scale transforms. However, this requirement does not necessarily lead to the fusion result containing the original intensity of source images, and multi-scale transforms need a high computational complexity. In this paper, we tackle the problem of multi-modal image fusion in the spatial domain with a low computational complexity. A salient structure extraction method and a structure-preserving filter are developed to fuse medical images. The developed structure-preserving filter has a property that it recovers small-scale details of the guidance image in the neighborhood of large-scale structures of the input image. Based on the property of the structure-preserving filter, the fusion result is constructed by combining the output of the structure-preserving filter and the source images. Experiments are conducted to demonstrate the effectiveness of the proposed method in comparison with the state-of-the-art approaches in terms of three performance metrics.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/132606