Computer Science ›› 2015, Vol. 42 ›› Issue (Z6): 211-214.

Previous Articles     Next Articles

Fusion of Infrared and Visible Images Based on Visual Saliency

GUO Ling and YANG Bin   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Most existing fusion rules for infrared and visible images are only defined by the local image features such as contrast,variance and gradient.However,there is no consideration of global characteristics of the whole source images.Therefore,the global “interesting” objects in the source images couldn’t be highlighted in the fused image.To solve the problem,a novel fusion algorithm with non-subsampled contourlet transform was proposed.The global visual saliency feature of the source images was used to guide coefficients fusion in order to emphasize the global “interesting” object in the fused image.The experimental results demonstrate that the proposed algorithm performs better than the traditional fusion methods in terms of both subjective and objective qualities.The“interesting” objects for visual system were preserved in the fused image with the proposed method and the visual background was close tothe real scene.

Key words: Image processing,Image fusion,Visual saliency,Multi-resolution analysis,Non-subsampled contourlet transform

[1] 陈小林,王延杰.非下采样变换的红外与可见光图像融合[J].中国光学,2011,04(5):489-496
[2] Bai Xiang-zhi,Zhou Fu-gen,Xue Bin-dang.Fusion of infraredand visual images through region extraction by using multiscale center-surround top-hat transform[J].Optics Express,2011,19(9):8444-8457
[3] Gonzalo P,Jesús M.A wavelet-based image fusion tutorial[J].Pattern Recognition,2004,37(9):1855-1872
[4] Dehghani M.Wavelet-based image fusion using “A trous” algorithm[C]∥Proceedings of the Map India Conference.New Delhi,2003:28-31
[5] 岳晋,杨汝良,宦若虹.基于双密度双树复数小波变换的图像融合研究[J].电子与信息学报,2009,31(1):129-133
[6] 邓艾,吴谨,杨莘,等.基于二代Curvelet变换和区域匹配度的图像融合算法[J].计算机科学,2012,39(6A):513-515
[7] Zheng Sheng,Shi Wen-zhong,Liu Jian,et al.Multisource image fusion method using Support Value transform[J].IEEE Transactions on Image Processing,2007,16(7):1831-1839
[8] 朱康,贺新光.基于形态学和Contourlet系数区域特征的遥感图像融合方法[J].计算机科学,2013,0(4):301-305
[9] 杨艳春,王晓明,党建武,等.基于非下采样Contourlet变换的医学图像融合方法[J].计算机科学,2013,0(3):310-313
[10] Do M N,Vetterli M.The Contourlet transform:an efficient directional multiresolution image representation[J].IEEE Transactions on Image Processing,2005,14(12):2091-2106
[11] Da Cunha A L,Zhou Jian-ping,Do M N.The nonsubsampled contourlet transform:theory,design,and applications[J].IEEE Transactions on Image Processing,2006,15(10):3089-3101
[12] Chen Yong,Xiong Jie,Liu Huan-lin,et al.Fusion method of infrared and visible images based on neighborhood characteristic and regionalization in NSCT domain[J].Optik-International Journal for Light and Electron Optics,2014,125(17):4980-4984
[13] Mitianoudis N,Stathaki T.Optimal contrast correction for ICA-based fusion of multimodal images[J].IEEE Sensors Journal,2008,8(12):2016-2026
[14] Goferman S,Zelnik-Manor L,Tal A.Context-aware saliency detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(10):1915-1926
[15] Xydeas C S,Petrovic V.Objective image fusion performancemeasure[J].Electronics Letters,2000,36(4):308-309
[16] Piella G,Heijmans H.A new quality metric for image fusion[C]∥Proceedings of the International Conference on Image Proces-sing.Barcelona,2003:173-176

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!