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Proceedings Paper

The contourlet transform for image fusion
Author(s): Qiguang Miao; Baoshu Wang
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Paper Abstract

In this paper, we introduce a new image fusion method based on the contourlet transform. Firstly, the problem that wavelet transform could not efficiently represent the singularity of linear/curve in image processing is analyzed. Secondly, the principal of Contourlet and its good performance in expressing the singularity of two or higher dimensional are studied. Finally, the feasibility of image fusion using contourlet transform is discussed in detail. A new fusion method based on Contourlet transform and the fusion framework are proposed. The transform coefficients structure and the fusion procedure are given in detail in this paper. Experiments show that the proposed algorithm works better in preserving the edge and texture information than the wavelet transform method and the Laplacian pyramid methods do in image fusion.

Paper Details

Date Published: 18 April 2006
PDF: 8 pages
Proc. SPIE 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, 62420Z (18 April 2006); doi: 10.1117/12.668007
Show Author Affiliations
Qiguang Miao, Xidian Univ. (China)
Guilin Univ. of Electronic Technology (China)
Baoshu Wang, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 6242:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006
Belur V. Dasarathy, Editor(s)

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