A new image fusion algorithm based on wavelet transform
A new image fusion algorithm based on wavelet transform
复制标题
DOI：
10.1109/icacte.2010.5578948
复制
发表时间：
2010-09
期刊：
影响因子：
--
通讯作者：
Lai-gang Zhang;Zhonghui Wei;Xin He;Yan Zhang;G. Liang
中科院分区：
文献类型：
--
作者：
Lai-gang Zhang;Zhonghui Wei;Xin He;Yan Zhang;G. Liang
提出了一种基于提升小波变换的图像融合新算法。对源图像分别进行提升小波分解。该算法针对低频系数和高频系数采用不同的融合规则进行融合。对于低频部分，选择基于邻域加一致性检验的空间频率作为融合指导。并选择基于细节系数的绝对最大值作为高频的引导。然后利用提升小波逆变换得到融合图像。以空间频率误差比和平均梯度为判据，实验结果表明该算法是非常有效的。
A new image fusion algorithm based on lifting wavelet transform is presented in this paper. The source images are decomposed using lifting wavelet transform respectively. Aiming at the coefficients of low frequency and high frequency, this algorithm choose a different rule to fuse the image. To the low frequency, the spatial frequency based on the neighborhood add consistency check is elected as the fusion guide. And the absolute maximum based on detail coefficients is selected as the guide to the high frequency. After that the fused image is obtained by using inverse lifting wavelet transform. Taking the ratio space frequency error and the mean gradient as criterions, experimental results demonstrate that the algorithm is very effective.