The contourlet transform for image fusion

Qiguang Miao; Baoshu Wang

doi:10.1117/12.668007

18 April 2006 The contourlet transform for image fusion

Qiguang Miao, Baoshu Wang

Proceedings Volume 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006; 62420Z (2006) https://doi.org/10.1117/12.668007
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

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.

Citation Download Citation

Qiguang Miao and Baoshu Wang "The contourlet transform for image fusion", Proc. SPIE 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, 62420Z (18 April 2006); https://doi.org/10.1117/12.668007

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