Acta Optica Sinica, Volume. 29, Issue 5, 1240(2009)
Fusion Algorithm of Multi-Spectral and High-Resolution Images Based on Region Feature in NSCT Domain
An fusion algorithm for multi-spectral and high-resolution images based on multi-level threshold segmentation and the nonsubsampled contourlet transform (NSCT) is proposed. Multi-level threshold segmentation is done for the multi-spectral image, and notions about ratio of region mean (RRM) are used to divide the multi-spectral image into the areas which need to be spatially enhanced and need to preserve spectral characteristics. Then the NSCT is performed on the high-resolution image and the intensity component of the multi-spectral image at different scales and directions. The low-frequency coefficients are fused with the windows-based fusion rules and operators, and the high-frequency coefficients are fused with the region-based rules according to the RRM. Finally the fused coefficients are reconstructed to obtain the fused intensity component of the multi-spectral image, and the inverse IHS transform is performed to get the fused multi-spectral image. Experimental results show that the algorithm proposed performs significantly better than the IHS transform, the pixel-based à trous wavelet transform and the pixel-based NSCT.
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Ye Chuanqi, Wang Baoshu, Miao Qiguang. Fusion Algorithm of Multi-Spectral and High-Resolution Images Based on Region Feature in NSCT Domain[J]. Acta Optica Sinica, 2009, 29(5): 1240