Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering

A New Image Fusion Method for Infrared and Visible Images Combining with Compressive Sensing Technology

Authors
Ying Zhu, Yongxing Jia, Chuanzhen Rong, Yu Yang
Corresponding Author
Ying Zhu
Available Online August 2015.
DOI
https://doi.org/10.2991/ic3me-15.2015.186How to use a DOI?
Keywords
compressive sensing; image fusion; infrared image; visible image; regional weighting algorithm.
Abstract

Compressive sensing is a novel information theory proposed recently.It broke through the restrictions of the traditional Nyquist sampling theorem on the sampling frequency,which can only use fewer sampling signals to describe the original signals.This article introduces an image fusion algorithm based on compressive sensing,by measuring the original images with designed matrix,then fusing the images based on the value of image regional weighting. The experimental results show that compressive sensing theory can obtain fusion image effectively.

Copyright
© 2015, 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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Volume Title
Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
10.2991/ic3me-15.2015.186
ISSN
2352-5401
DOI
https://doi.org/10.2991/ic3me-15.2015.186How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Ying Zhu
AU  - Yongxing Jia
AU  - Chuanzhen Rong
AU  - Yu Yang
PY  - 2015/08
DA  - 2015/08
TI  - A New Image Fusion Method for Infrared and Visible Images Combining with Compressive Sensing Technology
BT  - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
PB  - Atlantis Press
SP  - 964
EP  - 967
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.186
DO  - https://doi.org/10.2991/ic3me-15.2015.186
ID  - Zhu2015/08
ER  -