【摘要】 提出了一种基于冗余提升不可分离小波的多源图像融合方法。该方法不仅能很好地提取图像的细节信息,而且具有平移不变性,非常适合于图像融合;同时,采用基于局部邻域梯度的融合规则对分解后的高频和低频小波系数作不同的处理。对多光谱红外图像以及不同类型的医学图像进行了融合试验,结果表明该方法可以取得更好的融合效果。更多还原

【Abstract】 A multi-sensor image fusion method based on redundant lifting non-separable wavelet transform is presented. This method can capture the detail information of an image accurately. The wavelet coefficients of the approximant and detail sub-images are fused respectively based-on the fusion rule of local area gradient. This method is effectively used to fuse the multi-spectral infrared images and the multi-sensor medical images. The results show that the proposed method has the property of shift-invariance and betterfusion effect.更多还原