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Proceedings Paper

Image fusion based on Bandelet and sparse representation
Author(s): Jiuxing Zhang; Wei Zhang; Xuzhi Li
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Paper Abstract

Bandelet transform could acquire geometric regular direction and geometric flow, sparse representation could represent signals with as little as possible atoms on over-complete dictionary, both of which could be used to image fusion. Therefore, a new fusion method is proposed based on Bandelet and Sparse Representation, to fuse Bandelet coefficients of multi-source images and obtain high quality fusion effects. The test are performed on remote sensing images and simulated multi-focus images, experimental results show that the performance of new method is better than tested methods according to objective evaluation indexes and subjective visual effects.

Paper Details

Date Published: 10 April 2018
PDF: 7 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061534 (10 April 2018); doi: 10.1117/12.2302787
Show Author Affiliations
Jiuxing Zhang, Technology and Engineering Ctr. for Space Utilization (China)
Key Lab. of Space Utilization (China)
Wei Zhang, Technology and Engineering Ctr. for Space Utilization (China)
Key Lab. of Space Utilization (China)
Xuzhi Li, Technology and Engineering Ctr. for Space Utilization (China)
Key Lab. of Space Utilization (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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