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3 November 2005 A novel method based on discrete multiple wavelet transform to multispectral image fusion
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Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60440T (2005)
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
Image fusion refers to the techniques that integrate complementary information from multiple image sensor data such that the new images are more suitable for the purpose of human visual perception and the compute-processing tasks. In this paper, a new image fusion algorithm based on multiple wavelet, namely multiwavelet, transform to fuse multispectral images is presented. Multiwavelets are extensions from scalar wavelet, and have several unique advantages in comparison with scalar wavelets, so that multiwavelet is employed to decompose and reconstruct images in this algorithm. In this paper, the image fusion is performed at the pixel level, other types of image fusion schemes, such as feature or decision fusion, are not considered. In this fusion algorithm, a feature-based fusion rule is used to combine original subimages and to form a pyramid for the fused image. When images are merged in multiwavelet space, different frequency ranges are processed differently. It can merge information from original images adequately and improve abilities of information analysis and feature extraction. The experiment on the fusion of registered multiband SPOT multispectral Panchromatic band \XS3 band images is presented in this paper. The experiment results show that this fusion algorithm, based on multiwavelet transform, is an effective approach in image fusion area.
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Haihui Wang, Jian Zhang, Jun Wang, and Wei Wang "A novel method based on discrete multiple wavelet transform to multispectral image fusion", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60440T (3 November 2005);


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