JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2010, Vol. 40 ›› Issue (4): 144-148.

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Self-adaptive multisensor image fusion algorithm based on dual-tree complex wavelet-Contourlet transform

ZHAO Wen-zhong   

  1. Department of Mechanic and Electronic Engineering, Hexi University, Zhangye 734000, China
  • Received:2009-09-14 Online:2010-08-16 Published:2009-09-14

Abstract:

To overcome the poor directional selectivity of wavelet transform, a new self-adaptive multi-sensor image fusion algorithm was proposed based on the dual-tree complex wavelet-Contourlet transform.Using this algorithm,the panchromatic and multispectral images were first decomposed and transformed,and then different fusion rules were used according to different frequency characteristics: the self-adaptive regional energy coefficients added fusion rule were used for the lowfrequency and the regional feature self-adaptive fusion rule for the high-coefficients.The final fusion images was obtained by reconstruction.Compared with other fusion algorithms, the results showed that the self-adaptive image fusion algorithm based on the dual-tree complex wavelet-contourlet transform was feasible and effective.

Key words:  multisensor images, dual-tree complex wavelet transform, Contourlet transform, self-adpative, fusion algorithm

[1] SHI Xiayang, WANG Yufei, HU Yongjian. A contourlet transform-based steganalysis algorithm [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2011, 41(2): 75-79.
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