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真彩色传递双波段图像融合
引用本文:许廷发,李俊涛,张一舟,申子宜,郭巳秋.真彩色传递双波段图像融合[J].中国光学,2014,7(3):402-410.
作者姓名:许廷发  李俊涛  张一舟  申子宜  郭巳秋
作者单位:北京理工大学 光电学院 光电成像技术与系统教育部重点实验室, 北京 100081
基金项目:国家自然科学基金资助项目(No.61172178);国家自然科学基金仪器专项资助项目(No.61027002);高等学校博士学科点专项科研基金资助项目(No.20121101110022,No.20130441036)
摘    要:针对基于颜色传递的双波段(中波红外、可见光)图像融合时,由于参考图像选择不当,造成的彩色融合图像对比度差、图像边缘细节下降等问题,提出了基于拉普拉斯金字塔分解及对比度可调的色彩传递图像融合算法。对待融合的两幅图像进行拉普拉斯金字塔三级分解,每一级按照不同的融合规则进行融合,以重构后的灰度融合图像作为融合结构的亮度分量Y,将可见光与红外图像的差值图像作为U分量,以红外图像为V分量。在颜色传递公式中,加入可调的比例系数,通过适当调节比例系数可调节融合图像的对比度。实验结果表明,获得的融合图像较好地保留了可见光图像的细节,既突出了红外目标同时又具有参考图像的颜色特征。图像评价结果表明,融合图像的均值、方差、熵等评价指标均得到较大提高。

关 键 词:彩色图像融合  拉普拉斯金字塔  色彩传递  质量评价
收稿时间:2013/11/15

True color transfer for dual band image fusion
XU Ting-fa,LI Jun-tao,ZHANG Yi-zhou,SHEN Zi-yi,GUO Si-qiu.True color transfer for dual band image fusion[J].Chinese Optics,2014,7(3):402-410.
Authors:XU Ting-fa  LI Jun-tao  ZHANG Yi-zhou  SHEN Zi-yi  GUO Si-qiu
Affiliation:Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education, School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China
Abstract:Because of the inappropriate choose of reference image,double band( midwave infrared and visible) color fusion image based on the color transfer method has low contrast,decreasing image edge details and the infrared target is not prominent. We present a new algorithm based on the Laplacian Pyramid,and the contrast could be adjusted anywhere. We use the Laplacian reconstructed image as the luminance component of the YUV image fusion constructure,the differential image of visible image and infrared image as the U component,and the infrared image as the V component. In the color transfer formula,the adjustable scaling factor is brought in to adjust the contrast of fusion image. Experiments show that by using the improved method,the color fusion image retains meaningful details. The infrared target is prominent and the fusion image has similar color distribution with the reference image. We evaluate the quality of fusion image by using objective methods,and the result shows that evaluation indexes such as the mean,variance,entropy,average gradient and spatial frequency are improved.
Keywords:color image fusion  laplacian pyramid  color transfer  quality evaluation
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