Image Fusion Algorithm Based on Wavelet Sparse Represented Compressed Sensing

DOI

10.2991/iccsee.2013.305How to use a DOI?

Keywords

compressed sensing, image fusion, wavelet, minimum total variation

Abstract

On the basis of the compressed sensing theory, this study proposed an improved wavelet sparse represented compressed sensing based image fusion algorithm. This algorithm firstly got the wavelet sparse domain linear measurement values of the original images by the dual radial sampling mode. Then a simple maximum absolute value fusion rule was adopted on the compressed sensing domain. Finally, the minimum total variation method was used to reconstruct the fused image. The experiment result shows that this algorithm has good fusion effect.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shan-shan Liu
AU  - Xiao-he Zhang
AU  - Ai Zheng
PY  - 2013/03
DA  - 2013/03
TI  - Image Fusion Algorithm Based on Wavelet Sparse Represented Compressed Sensing
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1214
EP  - 1217
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.305
DO  - 10.2991/iccsee.2013.305
ID  - Liu2013/03
ER  -