文件名称:wavelet
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为了避免常规正交小波变换所引起的图像边缘失真,特别采用了双正交小波变换进行图像
的多分辨率分解。在融合处理时,为了获得更丰富的细节和更好的融合效果,对不同分解层、不
同方向上的高频分量以及同一分解层图像中的不同区域均采用不同的融合算子。实验结果表明,
该融合方法和融合规则是十分有效的,融合后图像的边缘和纹理细节都更加突出-In order to avoid the conventional orthogonal wavelet transform image edge distortion caused by the particular use of the biorthogonal wavelet transform for image multi-resolution decomposition. When the fusion process, in order to obtain richer detail and better integration of results for different decomposition layers, high frequency components in different directions within the same decomposition level of the image are different in different regions of the fusion operator. Experimental results show that the fusion and merging rule is very effective fusion of edge and texture detail can be more prominent
的多分辨率分解。在融合处理时,为了获得更丰富的细节和更好的融合效果,对不同分解层、不
同方向上的高频分量以及同一分解层图像中的不同区域均采用不同的融合算子。实验结果表明,
该融合方法和融合规则是十分有效的,融合后图像的边缘和纹理细节都更加突出-In order to avoid the conventional orthogonal wavelet transform image edge distortion caused by the particular use of the biorthogonal wavelet transform for image multi-resolution decomposition. When the fusion process, in order to obtain richer detail and better integration of results for different decomposition layers, high frequency components in different directions within the same decomposition level of the image are different in different regions of the fusion operator. Experimental results show that the fusion and merging rule is very effective fusion of edge and texture detail can be more prominent
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双正交小波变换多分辨率图像融合方法.pdf
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