文件名称:Wavelet_image_fusion
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对每一路图像进行小波变换，分别到其水平、垂直、四十五度角方向的高频分量以及其低频分量，得到每路图像的小波金字塔；
按取较大值的原则对两幅图像的不同层次、不同特征层的信息图分别进行融合；
根据融合的各图像分量的小波序列，进行小波逆变换，得到最后的融合图像。
-Road images of each wavelet transform, respectively, to its horizontal, vertical, 45 degree angle the direction of high-frequency components as well as its low-frequency components obtained for each road image wavelet pyramid according to the principles of taking a larger value of the two images different levels of information mapping feature level fusion respectively the basis of integration of various components of the wavelet image sequences, inverse wavelet transform, to be the final fusion image.
按取较大值的原则对两幅图像的不同层次、不同特征层的信息图分别进行融合；
根据融合的各图像分量的小波序列，进行小波逆变换，得到最后的融合图像。
-Road images of each wavelet transform, respectively, to its horizontal, vertical, 45 degree angle the direction of high-frequency components as well as its low-frequency components obtained for each road image wavelet pyramid according to the principles of taking a larger value of the two images different levels of information mapping feature level fusion respectively the basis of integration of various components of the wavelet image sequences, inverse wavelet transform, to be the final fusion image.
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下载文件列表
Wavelet_image_fusion\multi_image_process.m
Wavelet_image_fusion
Wavelet_image_fusion