吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (04): 1127-1132.doi: 10.7964/jdxbgxb201304045

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Image fusion method based on interpolation Directionlet

FENG Xin1,2, WANG Xiao-ming2, DANG Jian-wu3, SHEN Yu3   

  1. 1. College of Mechanical Engineering,Chongqing Technology and Business University,Chongqing, 400067;
    2. Department of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
    3. School of Electronic and Information Engineering, Lanzhou University of Communications, Lanzhou 730070, China
  • Received:2012-05-23 Online:2013-07-01 Published:2013-07-01

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Abstract:

This article puts forward a new method of image fusion based on interpolation processing of Directionlet and compression sensing theory to highlight the details of regional characteristics and improve the image visual effect. After interpolation Directionlet transform decomposition, the low-frequency component coefficients are fused using the regional characteristics and Verbal Immediacy; and the high-frequency component coefficients are fused using the improved sparse Hadamard matrix observation weight fusion method. Then, the fused high-frequency component coefficients are reconstructed. Finally, the image is reconstructed by the inverse interpolation Directionlet transform. Experiment results show that this fusion algorithm can get image with clear object and background, and it has low computational complexity and good fusion effect.

Key words: information processing, image processing technique, images fusion, Directionlet transform, Hadamard matrix, compression sensing

CLC Number: 

  • TN911

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