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一种多波段红外图像联合配准和融合方法

李英杰 张俊举 常本康 钱芸生 刘磊

李英杰, 张俊举, 常本康, 钱芸生, 刘磊. 一种多波段红外图像联合配准和融合方法[J]. 电子与信息学报, 2016, 38(1): 8-14. doi: 10.11999/JEIT150479
引用本文: 李英杰, 张俊举, 常本康, 钱芸生, 刘磊. 一种多波段红外图像联合配准和融合方法[J]. 电子与信息学报, 2016, 38(1): 8-14. doi: 10.11999/JEIT150479
LI Yingjie, ZHANG Junju, CHANG Benkang, QIAN Yunsheng, LIU Lei. Joint Image Registration and Fusion for Multispectral Infrared Images[J]. Journal of Electronics and Information Technology, 2016, 38(1): 8-14. doi: 10.11999/JEIT150479
Citation: LI Yingjie, ZHANG Junju, CHANG Benkang, QIAN Yunsheng, LIU Lei. Joint Image Registration and Fusion for Multispectral Infrared Images[J]. Journal of Electronics and Information Technology, 2016, 38(1): 8-14. doi: 10.11999/JEIT150479

一种多波段红外图像联合配准和融合方法

doi: 10.11999/JEIT150479
基金项目: 

国家自然科学基金(61101195),江苏省自然科学基金(SBK201343283)

Joint Image Registration and Fusion for Multispectral Infrared Images

Funds: 

The National Natural Science Foundation of China (61101195), Natural Science Foundation of Jiangsu Province (SBK201343283)

  • 摘要: 多波段红外图像配准和融合是得到更高质量夜视图像的关键步骤。过去,这两种方法被定义为两个独立的图像处理过程。因此,在融合过程中忽略配准误差会严重影响最后的融合质量。为解决上述问题,该文提出一种新的迭代优化方法,该方法通过寻找最优配准参数来获得最佳的融合性能,采用基于人眼感兴趣区域的清晰度指标作为融合质量评价函数来完善配准过程,采用模拟退火法解决联合优化问题。实验结果表明,针对夜视领域的多波段红外图像,该方法在配准精度、融合质量以及稳定性上明显优于常用的配准和融合算法。
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    出版历程
    • 收稿日期:  2015-04-28
    • 修回日期:  2015-10-10
    • 刊出日期:  2016-01-19

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