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DRF红外双波段彩色图像融合算法 被引量:1

DRF infrared dual band color image fusion algorithm
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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。 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.
作者 赵玲 周宽 喻松林 崔跃刚 ZHAO Ling;ZHOU Kuan;YU Song-lin;CUI Yue-gang(North China Institute of Optoelectronic Technology,Beijing 100015,China)
出处 《激光与红外》 CAS CSCD 北大核心 2022年第1期64-70,共7页 Laser & Infrared
关键词 双波段红外 图像融合 图像处理 dual-band infrared image fusion the image processing
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