An Improved infrared and visible image fusion algorithm based on the Second Generation Curvelet Transform
Xiaojun Liu, Jianyu Wang
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.65How to use a DOI?
- Image Fusion; Multi-resolution Analysis; the Second Generation Curvelet Transform
- The fusion of infrared images and visible images can combine complementary information in an image, so we can better describe a scene, and it is helpful for some tasks such as target detection, target localization and environment recognition. In this paper, we use the Second Generation Curvelet Transform (SGCT) to decompose infrared images and grayscale visible images to propose a new image fusion algorithm. This algorithm uses a multi-resolution decomposition of different tools and different fusion rules implementation. The simulation results show that, compared with existing algorithms, this algorithm have improved to some extent in the evaluation of fused images.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiaojun Liu AU - Jianyu Wang PY - 2014/03 DA - 2014/03 TI - An Improved infrared and visible image fusion algorithm based on the Second Generation Curvelet Transform BT - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14) PB - Atlantis Press SP - 297 EP - 300 SN - 1951-6851 UR - https://doi.org/10.2991/mce-14.2014.65 DO - https://doi.org/10.2991/mce-14.2014.65 ID - Liu2014/03 ER -