关键词: 双波段红外图像, 树状小波, 图像融合, 交叉分辨力

Abstract: According to the feature of target recognition and track in infrared thermal imaging，a new local contrast fusion algorithm is put forward based on tree-structured wavelet transform.The source images are decomposed by dual scale tree-structured wavelet transform under the relevant energy rule.The tree-structured wavelet gets over the move-change character of wavelet.The weighting and mean fusion rule is used to the low frequency images and the local contrast fusion rule is used to high frequency image.The fusion image both keeps the detail information and all kinds of noise are denoised.The across resolution evaluation operator of infrared target and background is presented to measure the contrast.Under the simulation and external evaluation criterion of image fusion，the fusion image is evaluated by information entropy，criterion difference，mean grads and cross entropy.The experiment results show this paper algorithm is better than the wavelet fusion algorithm and morphology region segmentation fusion algorithm and proves this paper algorithm has a better use in the target recognition and track of infrared thermal imaging system.

Key words: dual band infrared image, tree-structured wavelet, image fusion, across resolution