[1]张润琦,杨波,夏丽昆,等.弱环境辐射下中短波双波段红外图像融合方法[J].红外技术,2020,42(5):440-446.[doi:10.11846/j.issn.1001_8891.202005005]
 ZHANG Runqi,YANG Bo,XIA Likun,et al.Infrared Image Fusion Method for Medium-wave and Short-wave Images in Weak Ambient Radiation[J].Infrared Technology,2020,42(5):440-446.[doi:10.11846/j.issn.1001_8891.202005005]
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弱环境辐射下中短波双波段红外图像融合方法
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
42卷
期数:
2020年第5期
页码:
440-446
栏目:
出版日期:
2020-05-23

文章信息/Info

Title:
Infrared Image Fusion Method for Medium-wave and Short-wave Images in Weak Ambient Radiation

文章编号:
1001-8891(2020)05-0440-07
作者:
张润琦1杨波1夏丽昆2赵灿兵1苏俊波1
1. 昆明物理研究所;2. 陆军装备部驻重庆地区军事代表局驻昆明地区第一军事代表室
Author(s):
ZHANG Runqi1YANG Bo1XIA Likun2ZHAO Canbing1SU Junbo1
1. Kunming Institute of Physics;
2. The first military representative office in Kunming of the army armament department in Chongqing

关键词:
中短波红外图像融合双波段弱环境辐射引导滤波
Keywords:
medium and short wave infrared image image fusion dual band low environmental radiation guided filter
分类号:
TP391.41
DOI:
10.11846/j.issn.1001_8891.202005005
文献标志码:
A
摘要:
本文介绍了一种用于弱环境辐射下红外中、短波双波段的红外图像融合方法。该方法先采用单尺度Retinex(Single Scale Retinex,SSR)方法处理短波图像,分别对处理后的短波图像和中波图像采用均值滤波和双边滤波得到细节层和背景层,再利用基于Spectral Residual(SR)显著性和引导滤波的权重映射,对短波图像和中波图像的细节层和背景层进行加权融合,得到融合图像。经过实验仿真,并与基于小波、拉普拉斯金字塔的多种算法做了比较,该方法在各场景下的主观与客观评价均表现良好。
Abstract:
This study introduces a method of infrared image fusion for the infrared medium- and short-wave dual band. This method uses the single scale retinex(SSR) method for processing the short-wave image. Following this, the short-wave and medium-wave images are processed to obtain the details and background layers by average filtering and bilateral filtering, respectively. Using the weight map based on spectral residual significant and guided filter, the background and details layers of the short-wave and medium-wave images are fused to obtain the final fused image. From the results of the experimental simulation and a comparison with various fusion algorithms based on wavelet and the Laplacian pyramid, the method proposed in this work is observed to be simple and performs well in most scenarios.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-09-05;修订日期:2020-04-26.
作者简介:张润琦(1994-),男,硕士研究生,研究方向为红外图像处理。E-mail: 451404920@qq.com。

更新日期/Last Update: 2020-05-19