本论文的主要内容包含以下几个方面:

首先，论述了图像融合技术的基本理论、现状和方法，并对多聚焦图像融合

算法及融合结果的评价方法做了分类。

其次，论述了小波理论及其图像的小波分解和重构，研究了小波分解层数及

小波基函数的选择对多聚焦图像融合效果的影响，并给出了在多聚焦图像融合算

法中最佳小波分解层数和小波基函数的选取

再次，研究了基十小波变换的多聚焦图像融合方法，并提出了改进后的基十

小波变换区域对比度的多聚焦图像融合方法，并利用Matlab工具进行算法进行了

仿真实验

最后，总结本论文的研究成果和不足，并指出发展方向。-The following main parts are included.

　　Firstly, this paper discussed the basic theory, present state and means of image

fusion technology, classified multi-focus image fusion algorithm and evaluation means of image fusion consequences.

　　Secondly, this paper discussed the wavelet theory and the wavelet decomposition

and reconstruction of image, studied the effects on selection of wavelet basis function

and wavelet decomposition level to multi-focus image fusion, at last the best choices are

proposed.

　　Thirdly, a new method: regional contras of wavelet transformation are proposed for

multi-focus image fusion based on wavelet transformation and Matlab is employed to

simulation algorithm

　　Finally, this paper summarized the research achievement and insufficient of this

paper and pointed out development direction.