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
- 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/).
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 - 10.2991/ic3me-15.2015.186 ID - Zhu2015/08 ER -