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中国图象图形学报 2004
A Study of Image Fusion Based on Multiwavelet Transform
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Abstract:
Multiwavelet is an extension from wavelet theory, and has several particular advantages in comparison with scalar wavelets on image processing. Multiwavelet analysis can offer a more precise way for image analysis than wavelet multi-resolution analysis. In this paper, we research the characteristics of multiwavelet and give a fusion method by means of discrete multiwavelet transform. In the experiment, we have obtained the fused picture through merging a pair of remote sensing images with the different resolution of the same district by applying this image fusion method. Comparing with other fused images and evaluating them in way of objective and subjective performance, we can draw the conclusion that this method can fuse details of input images successfully, and it can perfectly display information of the each input image, therefore using this image fusion method can get more satisfactory result than using others.