Image fusion is a fundamental technique for integrating high-resolution panchromatic images and low-resolution\r\nmultispectral (MS) images. Fused images may enhance image interpretation. Empirical mode decomposition (EMD)\r\nis an effective method of decomposing non-stationary signals into a set of intrinsic mode functions (IMFs). Hence,\r\nthe characteristics of EMD may apply to image fusion techniques. This study proposes a novel image fusion\r\nmethod using a pyramid-based EMD. To improve computational time, the pyramid-based EMD extracts the IMF\r\nfrom the reduced layer. Next, EMD-based image fusion decomposes the panchromatic and MS images into IMFs.\r\nThe high-frequency IMF of the MS image is subsequently replaced by the high-frequency IMF of the panchromatic\r\nimage. Finally, the fused image is reconstructed from the mixed IMFs. Two experiments with different sensors were\r\nconducted to validate the fused results of the proposed method. The experimental results indicate that the\r\nproposed method is effective and promising regarding both visual effects and quantitative analysis.
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