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Image fusion by combining multiwavelet with nonsubsampled direction filter bank

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Abstract

Aiming to solving the problem of too much reductancy in nonsubsampled contourlet transform and shearlet transform, a new type of transform by combining the multiwavelet transform with nonsubsampled direction filter bank is proposed. Subsequently, a multi-scale-decomposition-based image fusion approach is presented. The pulse coupled neural networks (PCNN) are motivated by the local sum-modified-Laplacian measurement of every subband coefficient. If the coefficients generate larger firing times than the other, the coefficients will be chose to synthesize the fused image. Several experiments are performed on three kinds of images, such as multi-focus images, medical images and multispectral images. The experiments indicate that the proposed fusion method observably outperforms the other multi-scale geometry analysis methods adopting the PCNN, such as the traditional wavelet, NSCT, shearlet and other latest image fusion algorithms.

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Acknowledgments

Some of the images adopted in these experiments are downloaded from the website of http://www.imagefusion.org. The code of Qu’s method can be acquired from http://www.quxiaobo.org/. This research was partially sponsored by the Natural Science Fund of Hebei Province under Grant F2013210094 and F2013210109. This research was partially sponsored by the National Natural Science Fund under Grant 61572063 and 61401308.

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Authors and Affiliations

  1. School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang, 050043, People’s Republic of China

    Geng Peng, Zhengyou Wang & Shanna Zhuang

  2. College of Electronic and Information Engineering, Hebei University, Baoding, 071000, People’s Republic of China

    Shuaiqi Liu

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  1. Geng Peng
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  2. Zhengyou Wang
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  3. Shuaiqi Liu
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  4. Shanna Zhuang
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Correspondence to Geng Peng.

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We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled.

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Communicated by V. Loia.

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Peng, G., Wang, Z., Liu, S. et al. Image fusion by combining multiwavelet with nonsubsampled direction filter bank. Soft Comput 21, 1977–1989 (2017). https://doi.org/10.1007/s00500-015-1893-0

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