Paper Infomation
Multispectral and Panchromatic Image Fusion Based on Multi-scale Decomposition and Superpixel Segmentation
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Author: Xiang Yin, Jun Ma
Abstract: An image fusion algorithm based on multi-scale decomposition and superpixel segmentation is proposed to obtain a clearer fusion result of the multispectral and panchromatic image. The correlations between fusion image coefficients can be improved by using superpixel segmentation to partition the panchromatic image. Then the multi-scale decomposition of the panchromatic and multi-spectral image is carried out, and the high frequency subband can fusion to compare with the local energy and local variance, which can obtain the details of the image. Finally, the fusion coefficient is inverter to obtain the fusion result. Experimental results show that this method can improve the spectral quality and spatial resolution of the fusion image.
Keywords: Image Fusion, Multi-scale Decomposition, Superpixel Segmentation
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