关键词: 图像融合, 统计模型, 双树复小波变换, 广义高斯分布, 动态图像

Abstract: A novel fusion method is proposed for dynamic image which is based on the non-Gaussian statistical modeling of wavelet coefficients.Firstly，the source images are decomposed by Dual Tree Complex Wavelet Transform（DT-CWT） respectively.Then，the wavelet coefficients are modeled using the Generalized Gaussian Distribution（GGD）.Saliency measure，the weighted coefficient，is calculated by estimating distribution parameters.The pair of coefficients is fused through weighted average.Finally，the fused coefficients are reconstructed into a single fused image.The quality of the fused image is evaluated by three metric：Entropy，mutual information and Q^AB/F.The experimental results demonstrate that performance of the proposed method is prior to other two fusion approaches for infrared and visible dynamic image sequence.

Key words: image fusion, statistical model, dual tree complex wavelet transform, the generalized gaussian distribution, dynamic image