Image fusion algorithm based on local correlation in wavelet domain

Authors:
Zhiyun Xiao;Lijuan Xie;Lijun Shen
Affiliations:
Inner Mongolia University of Technology, Hohhot, China;Inner Mongolia University of Technology, Hohhot, China;Inner Mongolia University of Technology, Hohhot, China
Venue:
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Year:
2010

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Abstract

In the paper, the local correlation of wavelet coefficients is considered, which is not considered by traditional image fusion algorithm based on wavelet transform. Firstly, the fusing image is decomposed by wavelet; then, the high frequency components of fused image are fused by using local region maximum absolute value, and the low frequency components are determined by the local correlation of wavelet coefficients; Finally, we obtained the fused image through the wavelet inverse transform. The experimental results show that the paper algorithm has retained the image detail and edge information effectively, which is better than traditional algorithm in the subjective effect and objective criterion.