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A New Image Fusion Algorithm Based on Biorthogonal Wavelet

机译:一种基于Biorthogonal小波的新图像融合算法

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A new image fusion method based on biorthogonal wavelet that different frequency component on each decomposition level uses different operator is proposed. First, images involved in fusion are decomposed by biorthogonal multi-resolution wavelet. Then different fusion operators are used to high frequency images and low frequency images according to correlation coefficient between texture information function and edge luminance function. The simulation result indicated that the algorithm is able to obtain fused images of higher clarity and lower deviation index compared with traditional methods.
机译:提出了一种基于双正交小波的新图像融合方法,提出了每个分解级别的不同频率分量使用不同的运算符。首先,融合所涉及的图像由双正交多分辨率小波分解。然后,根据纹理信息功能和边缘亮度函数之间的相关系数,不同的融合运算符用于高频图像和低频图像。仿真结果表明,与传统方法相比,该算法能够获得更高透明度和较低偏差指数的融合图像。

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