文件名称:3466
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提出了一种基于人类视觉系统和模糊隶属度函数的小波卫星图像融合新算法,利用小波域的人类视觉系
统经验模型,刻画图像的边缘、纹理及高亮区域, 采用模糊隶属度函数自适应地计算权系数, 在小波域上通过加权
平均实现了图像融合。-Proposed a new algorithm based on human visual system and the fuzzy membership function of the wavelet satellite image fusion using wavelet domain experience in the human visual system model, depicting the image of the edge, texture, and the highlighted area, the use of fuzzy membership function adaptively calculate the weight coefficients in the wavelet domain by the weighted average realized fusion.
统经验模型,刻画图像的边缘、纹理及高亮区域, 采用模糊隶属度函数自适应地计算权系数, 在小波域上通过加权
平均实现了图像融合。-Proposed a new algorithm based on human visual system and the fuzzy membership function of the wavelet satellite image fusion using wavelet domain experience in the human visual system model, depicting the image of the edge, texture, and the highlighted area, the use of fuzzy membership function adaptively calculate the weight coefficients in the wavelet domain by the weighted average realized fusion.
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基于HVS和模糊隶属度函数的卫星图像融合算法.pdf