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提出了利用小波变换按照不同融合规则及融合算子去构造融合图像对应的小波系数 ,得到一种新的基于多尺度分解的像素的图像融合方法 通过对融合图像统计参数对比表明 ,所提出的基于小波变换的像素局部能量作为准则的融合效果更好 ,既可避免传统融合规则存在的信息损失 ,又提高了融合图像的空间分辨率和清晰度 ,融合图像符合人的视觉特性 ,更有利于机器视觉
A new image fusion method based on multi-scale decomposition is proposed by using wavelet transform to construct wavelet coefficients corresponding to the fusion image according to different fusion rules and fusion operators. The comparison of the statistical parameters of the fusion image shows that the proposed method based on the multi- The local energy of wavelet transform as the criterion of fusion is better, which can not only avoid the information loss of the traditional fusion rules, but also improve the spatial resolution and sharpness of the fusion image. The fusion image is in line with the human visual characteristics, and is more conducive to the machine Visual