电子学报2017，Vol.45Issue(12)：2965-2970,6.DOI:10.3969/j.issn.0372-2112.2017.12.019
基于NSST的红外与可见光图像融合算法
Research on the Fusion Algorithm of Infrared and Visible Images Based on Non-subsampled Shearlet Transform
邓立暖 1尧新峰2
作者信息
- 1. 吉林师范大学博达学院计算机与信息科学系,吉林四平136523
- 2. 东北大学,辽宁沈阳110819
- 折叠
摘要
Abstract
Aiming at the different features between infrared imagery and visible images,a new fusion algorithm of infrared imagery and visible image based on Non-subsampled Shearlet Transform (NSST) is proposed.Firstly the algorithm decomposes infrared and visible light image that have been registered by NSST,getting the low-frequency subband images and the scale of each direction high frequency subband images;Then the low frequency subband images use a low frequency fusion rules based on the significant figure,and combined with human visual characteristic,high frequency subband image adopt a fusion rules of improving regional contrast;Finally,get fusion image by making NSST inverse transformation for the fusion of low frequency subband image and high frequency subband images.Experimental results show that the proposed algorithm can effectively synthesize the important information of infrared and visible images,and the fusion effect is better than that of the general image fusion method based on NSCT and NSST.关键词
图像融合/红外与可见光图像/NSST/显著图/区域对比度Key words
image fusion/infrared and visible images/non-subsampled shearlet transform/saliency map/contrast分类
信息技术与安全科学引用本文复制引用
邓立暖,尧新峰..基于NSST的红外与可见光图像融合算法[J].电子学报,2017,45(12):2965-2970,6.
