基于小波变换的多聚焦图像融合新算法  

New Multi-focus Image Fusion Algorithm Based on Wavelet Transform

作　　者：韩潇[1] 彭力[1] 

机构地区：[1]江南大学物联网工程学院,无锡214122

出　　处：《计算机与数字工程》2014年第9期1628-1631,共4页Computer & Digital Engineering

基　　金：江苏省产学研联合创新资金--前瞻性联合研究项目(编号:BY2013015-33)资助

摘　　要：针对多聚焦图像,提出了一种新的基于小波变换的图像融合算法。首先将图像进行小波分解,得到低频图像和高频图像,对于低频图像采用基于邻域能量的方法进行融合,高频图像采用基于邻域方差取大的方法进行融合。最后进行小波逆变换,得到最终的融合图像。通过仿真实验验证了算法的有效性,实验结果表明,该算法明显优于传统算法。According to the multi-focus image, a new multi-focus image fusion algorithm based on wavelet transform is proposed. Firstly, the image is decomposed by wavelet transform and the high-frequency information and low-frequency information of the image are obtained. After that, different ways to are used deal with the high-frequency information and lowrequency information. The low-frequency coefficient based on neighboring region energy and the high-frequency coefficient based on neighboring region variance are selected. And finally those images are fused by the wavelet transform inversely. In order to verify the effectiveness of the approach, a simulation is designed. The result shows that this algorithm is better than traditional algorithms in multi-focus image fusion.

关 键 词：图像融合 多聚焦图像 邻域能量 邻域方差 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]