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DRF红外双波段彩色图像融合算法北大核心CSCD
引用本文:赵玲,周宽,喻松林,崔跃刚.DRF红外双波段彩色图像融合算法北大核心CSCD[J].激光与红外,2022,52(1):64-70.
作者姓名:赵玲  周宽  喻松林  崔跃刚
作者单位:华北光电技术研究所,北京 100015
摘    要:针对中长波红外双波段伪彩色融合图像存在较明显色偏和细节信息模糊等问题,本文了总结典型传统彩色融合算法的优缺点,提出划分差值区域进行赋色融合(Difference Regions Fuse,DRF)的思路,并在图像预处理中增加迭代归一化图像处理,结合中长波红外差异的特征引入YCbCr颜色空间,利用16 bit原始红外图像直接进行赋色融合,仿真与实验结果表明,本文提出的DRF算法融合效果显著。

关 键 词:双波段红外  图像融合  图像处理
修稿时间:2021/6/30 0:00:00

DRF infrared dual band color image fusion algorithm
ZHAO Ling,ZHOU Kuan,YU Song-lin,CUI Yue-gang.DRF infrared dual band color image fusion algorithm[J].Laser & Infrared,2022,52(1):64-70.
Authors:ZHAO Ling  ZHOU Kuan  YU Song-lin  CUI Yue-gang
Affiliation:(North China Institute of Optoelectronic Technology,Beijing 100015,China)
Abstract:Aiming at the problems of obvious color bias and fuzzy detail information in infrared long-wave dual-band pseudo color fusion image,this paper summarizes the advantages and disadvantages of typical traditional color fusion algorithm,proposes the idea of dividing Difference Region Fuse(DRF),and adds iterative normalized image processing in the image preprocessing.Combined with the characteristics of medium and long wave difference,YCbCr color space is introduced,and 16bit original infrared image is used to perform color fusion directly.Simulation results show that the proposed DRF algorithm has a remarkable fusion effect.
Keywords:dual-band infrared  image fusion  the image processing
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