Self-Adaptive Multi-sensor Image Fusion Using Dual-tree Complex Wavelet and Curvelet Transform
WANG Xiaojun1, HE Tongdi1,2
1. Mechanic and Electronic Engineering Department, Hexi University, Zhangye 734000, China; 2. Key Lab on Optoelectronic Technology and System of State Education Ministry, Chongqing University, Chongqing 400030, China
Abstract：A new self-adaptive multi-sensors image fusion algorithm based on dual-tree complex wavelet and Curverlet transform(DT-CWT) is proposed.In this algorithm,the panchromatic image and multi-spectral image are decomposed by DT-CWT,and different fusion rules are selected for different frequency characteristic.Regional energy weight coefficients self-adaptive fusion rule is selected for low-frequency coefficients,and regional feature self-adaptive fusion rule is selected for high frequency coefficients.Finally,the fusion image is obtained by reconstruction.Comparing other fusion algorithms with this algorithm,the results show the regional feature self-adaptive image fusion algorithm based on the DT-CWT is a feasible and effective image fusion algorithm.
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