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Multi-Focus Image Fusion Based on NSCT and NSST

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Abstract

In this paper, a multi-focus image fusion algorithm based on the nonsubsampled contourlet transform (NSCT) and the nonsubsampled shearlet transform (NSST) is proposed. The source images are first decomposed by the NSCT and NSST into low frequency coefficients and high frequency coefficients. Then, the average method is used to fuse low frequency coefficient of the NSCT. To obtain more accurate salience measurement, the high frequency coefficients of the NSST and NSCT are combined to measure salience. The high frequency coefficients of the NSCT with larger salience are selected as fused high frequency coefficients. Finally, the fused image is reconstructed by the inverse NSCT. We adopt three metrics (QAB/F, Q e and Q w ) to evaluate the quality of fused images. The experimental results demonstrate that the proposed method outperforms other methods. It retains highly detailed edges and contours.

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Acknowledgments

The authors would like to thank the editor and anonymous reviewers for their detailed review and valuable comments. This paper is supported by scientific Research Fund of Hunan Provincial Education Department (No. 14B006).

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Authors and Affiliations

  1. College of Electrical and Information Engineering, Hunan University, Changsha, 410082, People’s Republic of China

    Altan-Ulzii Moonon

  2. College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, 410114, People’s Republic of China

    Jianwen Hu

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  1. Altan-Ulzii Moonon
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  2. Jianwen Hu
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Correspondence to Jianwen Hu.

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This article is part of the Topical Collection on Hybrid Imaging and Image Fusion.

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Moonon, AU., Hu, J. Multi-Focus Image Fusion Based on NSCT and NSST. Sens Imaging 16, 4 (2015). https://doi.org/10.1007/s11220-015-0106-3

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  • DOI: https://doi.org/10.1007/s11220-015-0106-3

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