摘要： 根据低频域平均法，提出基于低频边缘特征和能量的多聚焦小波图像融合方法，对需要融合的图像进行小波多尺度分解，按区域能量最大化原则对高频细节分量图像进行融合，对低频近似分量图像采用能量与边缘特征相结合的融合方法。实验结果表明，与原有方法相比，该方法能更好地体现低频域边缘特征和区域特征。

关键词: 图像融合, 小波变换, 边缘特征, 能量

Abstract: According to low-frequency domain average method, this paper proposes a multifocus wavelet image fusion method based on low-frequency edge characteristics and energy. It adopts wavelet multi-scale decomposition in the image needs fusion. High-frequency details of the components of image are fused according to region energy maximization principle, while the low-frequency approximation component of image edge characteristics are combined with the energy of the fusion method. Experimental results show that compared with existing methods, this method can embody low frequency domain edge characteristics and regional characteristics better.

Key words: image fusion, wavelet transformation, edge feature, energy

中图分类号: 

• TN911.73