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    Image Fusion using DFT Based Digital Filter Banks

    机译:使用基于DFT的数字滤波器组进行图像融合

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    In this paper, we present a new fusion algorithm based on a multidecomposition approach with the DFT based symmetric, zero-phase, nonoverlapping digital filter bank representation. The DFT of the signal is separated into two parts leading to the low and high -pass components then decimated by two to obtain subband signals. The original signal may be recovered by interpolating the subband signals, computing their inverse DFT and summing the results. In the proposed image fusion algorithm, two or more source images are decomposed into subbands by DFT based digital filters. The detail and approximation subband coefficients are modified according to their magnitudes and mean values, respectively. Then, the modified subbands are combined in the subband domain. Finally, the fused image is obtained by the inverse transform.
    机译:在本文中,我们提出了一种新的融合算法,该算法基于基于DFT的对称,零相位,不重叠数字滤波器组表示的多分解方法。信号的DFT分为两部分,分别导致低通分量和高通分量,然后被二分之一抽取,以获得子带信号??梢酝ü宰哟藕沤胁逯?,计算其逆DFT并对结果求和来恢复原始信号。在提出的图像融合算法中,两个或多个源图像通过基于DFT的数字滤波器分解为子带。细节和近似子带系数分别根据其大小和平均值进行修改。然后,在子带域中组合修改后的子带。最后,通过逆变换获得融合图像。

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