一种基于小波变换边缘保护的图像融合算法

提出一种基于小波变换的像素级图像融合算法。采用小波系数局部模极大和加权局部能量分析相结合的方法融合高频成分；用加权局部能量分析融合尺度系数。算法获得的融合图像具有很强的视觉表现能力。此算法不需要设置阈值，具有较强的泛化能力。对多聚焦图像进行的融合实验结果表明，基于小波系数局部模极大和局部能量分析相结合的高频融合策略较好地再现了图像中各种边缘信息；基于加权局部能量估计的低频融合策略有效地去除了原图像的模糊。融合后的图像在客观评价和主观视觉效果上均有显著提高。

An edge-preserving image fusion algorithm based on wavelet transform

An image fusion algorithm based on wavelet transform was proposed. The wavelet coefficient local model maximum method and local energy analysis method is used to fuse the high-frequency component, and local energy analysis method was also used to fuse scale coefficient. The result image had good vision representation capability. It did not need to set threshold, so it had effective generalization. The experiment results on several multi-focused images show that the incorporation of the wavelet coefficient local model maximum method and local energy analysis method can emersion and protect the edges, and local energy analysis method used in the low-frequency component fusion, can eliminate the blur in the multi-focused images. This algorithm can improve the quality of the fused image in both objective effect and subjective effect evidently.