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基于融合图像特征库的夜视图像彩色化研究
引用本文:何永强,王群,李国松,胡志盛.基于融合图像特征库的夜视图像彩色化研究[J].激光与红外,2012,42(12):1393-1397.
作者姓名:何永强  王群  李国松  胡志盛
作者单位:1. 军械工程学院光学与电子工程系,河北石家庄,050003
2. 73311部队,福建泉州,362200
摘    要:提出一种基于图像融合技术的夜视图像彩色化方法,结合红外图像和微光图像各自的特点,利用小波图像融合的方法把红外图像和微光图像进行融合,从大量的融合图像中提取不同物体的纹理特征,构成野外环境下的纹理图像库,并对每类图像指定相应的彩色参考图像。对目标图像进行分割,提取目标图像的纹理特征与图像库进行相似性对比,完成目标图像的色彩传递。实验结果表明,该算法获得真实的场景色彩,使观察者更容易获得图像的场景信息。

关 键 词:图像融合  色彩传递  小波变换  微光  红外

Research on night vision image colorization based on the fusion of image's character library
HE Yong-qiang,WANG Qun,LI Guo-song,HU Zhi-sheng.Research on night vision image colorization based on the fusion of image's character library[J].Laser & Infrared,2012,42(12):1393-1397.
Authors:HE Yong-qiang  WANG Qun  LI Guo-song  HU Zhi-sheng
Affiliation:Department of Optics and Electronic Engineering,Ordnance Engineering College,Shijiazhuang 050003,China;Uint 73311 of PLA,Quanzhou 362200,China
Abstract:This paper describes a Night Vision Image Colorization based on image fusion technology.Concerning their characteristics,low-level visible and IR images are combined into a fusion image using wavelet fusion.We extract different patterns of textures to construct a library based on lots of experiments,and the color images are destined for different patterns.We segment the target image and compute the texture of different patterns.And the color transformation is achieved.The experimental results show that the algorithm can make a color night vision image more realistic and natural,helps observers to get more abundant scene information.
Keywords:
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