吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (4): 1203-1208.doi: 10.13229/j.cnki.jdxbgxb201404046

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Image fusion method based on visual saliency maps

WANG Xiao-wen1, 2, ZHAO Zong-gui3, PANG Xiu-mei4, LIU Min5   

  1. 1.College of Command Information Systems, PLA University of Science and Technology, Nanjing 210007, China;
    2.Unit 93175 of PLA, Changchun 130051, China;
    3.The 28th Research Institute, China Electronics Technology Group Cooperation, Nanjing 210007, China;
    4.College of Sciences, PLA University of Science and Technology, Nanjing 210014, China;
    5.Center of EW, Unit 73677 of PLA, Nanjing 210016, China
  • Received:2012-12-27 Online:2014-07-01 Published:2014-07-01

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Abstract: Visual saliency maps of the source images are extracted with various image features. A novel fusion rule for the low-frequency subbands of multi-scale image fusion algorithms is proposed, and a new multi-scale image fusion method is developed based on the visual saliency maps. Átrous wavelet is integrated with Nonsubsampled Contourlet Transform, and is applied to the experiment of multi-sensor and multi-focus image fusion. It is demonstrated that the proposed approach yields better results both in visual inspection and objective evaluation than the methods choosing low frequency coefficients based on average or neural network.

Key words: information processing technology, image fusion, visual saliency map, fusion rule, low frequency subbands

CLC Number: 

  • TN911.73
[1] 刘刚.基于多尺度的多传感器图像融合研究[D]. 上海:上海交通大学微电子学院, 2005. Liu Gang. Research on multiresolution-based multisensor image fusion[D]. Shanghai: School of Microelectronics, Shanghai Jiaotong University, 2005.
[2] 汤磊.多分辨率图像融合方法与技术研究[D]. 南京:解放军理工大学指挥自动化学院, 2008. Tang Lei. Research on multiresolution image fusion method and technology[D]. Nangjing: Institute of Command and Automation, PLA University of Science and Technology, 2008.
[3] Garcia J A, Sanchez R R, Valdivia J F. Axiomatic approach to computational attention[J]. Pattern Recognition, 2010, 43(4): 1618-1630.
[4] Lai Jie-ling, Yi Yang. Key frame extraction based on visual attention model[J]. Journal of Visual Communication and Image Representation, 2012, 23(1): 114-125.
[5] Hu Yi-qun, Xie Xing, Ma Wei-ying, et al. Salient object extraction combining visual attention and edge information[R]. Technical Report, 2004.
[6] Fang Yu-ming, Chen Zhen-zhong, Lin Wei-si, et al. Saliency detection in the compressed domain for adaptive image retargeting[J]. IEEE Transactions on Image Processing, 2012, 21(9): 3888-3901.
[7] Engelke U, Nguyen V X, Zepernick H J. Regional attention to structural degradations for perceptual image quality metric design[C]∥Proc IEEE Int Conf Acoust, Speech, and Signal Processing, 2008.
[8] Gopalakrishnan V, Hu Y Q, Rajan D. Random walks on graphs for salient object detection in images[J]. IEEE Transactions on Image Processing, 2010, 19(12):3232-3242.
[9] 叶传奇, 王宝树, 苗启广. 一种基于区域特性的红外与可见光图像融合算法[J]. 光子学报, 2009, 38(6): 1498-1503. Ye Chuan-qi, Wang Bao-shu, Miao Qi-guang. Fusion algorithm of infrared and visible images based on region feature[J]. Acta Photonica Sinica, 2009, 38(6): 1498-1503.
[10] Chai Yi, Li Hua-feng, Li Zhao-fei. Multifocus image fusion scheme using focused region detection and multi-resolution[J]. Optics Communications, 2011, 284 (19): 4376-4389.
[11] 王晓文, 赵宗贵, 汤磊. 一种新的红外与可见光图像融合评价方法[J]. 系统工程与电子技术, 2012, 34(5): 27-31. Wang Xiao-wen, Zhao Zong-gui, Tang Lei. A novel quality metric for infrared and visible image fusion[J]. System Engineering and Electronics, 2012, 34(5): 27-31.
[12] Itti L, Koch C, Niebur E. A model of saliency-based visual attention for rapid scene analysis[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1998, 20: 1254-1259.
[13] Da C A, Zhou J P, Do M N. The non-subsampled contourlet transform: theory, design, and applications[J]. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.
[14] Wong A K C, Sahoo P K. A gray-level threshold selection method based on maximum entropy principle[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1989, 19(4): 866-871.
[15] Qu Xiao-bo, Yan Jing-wen, Zhu Zi-qian, et al. Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in non- subsampled contourlet transform domain[J]. Acta Automatica Sinica, 2008, 34(12): 1508-1514.
[16] Qu Gui-hong, Zhang Da-li, Yan Ping-fan. Information measure for performance of image fusion[J]. Electronics Letters, 2002, 38(7): 313-315.
[17] Xydeas C S, Petrovic V. Objective image fusion performance measure[J]. Electronics Letters, 2000, 36(4): 308-309.
[18] Zheng Y F, Essock E A, Hansen B C, et al. A new metric based on extended spatial frequency and its application to DWT based fusion algorithms[J]. Information Fusion, 2007, 8(2): 177-192.
[19] Piella G. New quality measures for image fusion[C]∥Proc IEEE 7th International Conference on Information Fusion, 2004.
[20] Yang Cui, Zhang Jian-qi, Wang Xiao-rui, et al. A novel similarity based quality metric for image fusion[J]. Information Fusion, 2008, 9(2):156-160.
[21] Sugihara K. Robust gift wrapping for the three-dimensional convex hull[J]. Journal of Computer and System Sciences, 1994, 49:391-407.
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