基于小波变换的多尺度图像融合

随着科学的发展和技术的进步,图像数据融合技术作为解决如何从多幅图像中恢复出原始图像的问题的重要方法已日益引起人们的重视。文章在总结了传统的图像融合方法的基础上,提出了基于小波的图像融合方法,在高频域内综合考虑了图像的边缘特征和内部能量特征进行融合,在低频内直接采用区域能量进行融合,最后利用小波逆变换得到融合结果。经试验证明了该方法的有效性。

Multiscale Image Data Fusion Based on Wavelet Transform

With the development of the science and technology,the technology of image fusion has become more popu-lar in solving the problems in the research of reconstructing the original image from many images.Summarizing some traditional methods,this paper proposes one fusion approach based on wavelet transform.In high frequency area,both the feature of image's edge and the features of area energy are considered when the images are fused.And in low frequency area the images are fused by the approach based on area energy.Finally the fusion image can be obtained by the in-verse wavelet transform.Experimental results show that the data fusion method based on wavelet transform is very effec-tive and can be applied to a wide research field.