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  • Received: Mar. 28, 2007

    Accepted: --

    Posted: Oct. 11, 2007

    Published Online: Oct. 11, 2007

    The Author Email: Xiaobo Qu (yjwen@xmu.edu.cn)

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    Xiaobo Qu, Jingwen Yan, Guofu Xie, Ziqian Zhu, Bengang Chen. A novel image fusion algorithm based on bandelet transform[J]. Chinese Optics Letters, 2007, 5(10): 569

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Chinese Optics Letters, Vol. 5, Issue 10, 569 (2007)

A novel image fusion algorithm based on bandelet transform

Xiaobo Qu1,*, Jingwen Yan1, Guofu Xie1,2, Ziqian Zhu1,2, and Bengang Chen3

Author Affiliations

  • 1Department of Communication Engineering, Xiamen University, Xiamen 361005
  • 2Department of Electronic Information Engineering, Shantou University, Shantou 515063
  • 3Department of Software Engineering, Xiamen University, Xiamen 361005

Abstract

A novel image fusion algorithm based on bandelet transform is proposed. Bandelet transform can take advantage of the geometrical regularity of image structure and represent sharp image transitions such as edges efficiently in image fusion. For reconstructing the fused image, the maximum rule is used to select source images' geometric flow and bandelet coefficients. Experimental results indicate that the bandelet-based fusion algorithm represents the edge and detailed information well and outperforms the wavelet-based and Laplacian pyramid-based fusion algorithms, especially when the abundant texture and edges are contained in the source images.

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