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Proceedings Paper

A novel method based on discrete multiple wavelet transform to multispectral image fusion
Author(s): Haihui Wang; Jian Zhang; Jun Wang; Wei Wang
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Paper Abstract

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.

Paper Details

Date Published: 3 November 2005
PDF: 8 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60440T (3 November 2005); doi: 10.1117/12.654557
Show Author Affiliations
Haihui Wang, Wuhan Institute of Chemical Technology (China)
Jian Zhang, Wuhan Institute of Chemical Technology (China)
Jun Wang, Wuhan Institute of Chemical Technology (China)
Wei Wang, Wuhan Institute of Chemical Technology (China)

Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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