基于小波变换的多聚焦图像融合中，融合方法、小波基和小波分解层数的选取是关键技术。研究一种基于区域能量的多聚焦图像融合方法，分析比较小波基、小波分解层数对图像融合结果的影响，利用熵、峰值信噪比、空间频率对融合图像进行评价。结果表明：提出的融合方法能够得到较好的效果，采用bior2.2 小波基、分解层数为4~6 时得到较好的融合效果，该结果能为实际应用中小波参数的选择提供参考。

Wavelet fusion method, wavelet basis and decompose levels play an important role in the fusion algorithm of multi-focus images based on wavelet transform. A new image fusion method based on local wavelet energy is proposed, some wavelet types and levels are analyzed and compared. The fusion parameters such as entropy, peak signal noise rate and spatial frequency are used to evaluate the fusion results. The results show that the new fusion method can get a better fusion results, bior2.2 wavelet basis and 4~6 levels are the best in image fusion, which provides some recommendation for wavelet basis selection.