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Abstract
To break the limitation of camera imaging and acquire abundant information with multi-focus images, we present a novel multi-focus image fusion method based on edge-preserving filters. In this paper, the focusing level is measured by two cost functions and the focus map is constructed based on the winner- take-all manner. Besides, we demonstrate that the guided image filter (GIF) and the fast global smoother (FGS) have different advantages in image structure transferring and image smoothing, which can be utilized to construct the precise fusion weight maps. Combing with the weight maps acquired by GIF and FGS, the accurate all-in-focus image is obtained using a secondary fusion strategy. Experimental results show that the proposed method is competitive or even outperforms many state-of-the-art methods, which includes the recent CNN-based fusion method, while the proposed method is less time-consuming.
Keywords
PERFORMANCE, Image fusion, Multi-focus images, Guided filter, Fast global smoother, Image fusion assessment metrics

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MLA
Xiao, Yifan, et al. “Multi-Focus Image Fusion Based on Edge-Preserving Filters.” 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA), IEEE, 2019, doi:10.1109/IPTA.2019.8936090.
APA
Xiao, Y., Shopovska, I., Veelaert, P., & Philips, W. (2019). Multi-focus image fusion based on edge-preserving filters. In 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA). New York: IEEE. https://doi.org/10.1109/IPTA.2019.8936090
Chicago author-date
Xiao, Yifan, Ivana Shopovska, Peter Veelaert, and Wilfried Philips. 2019. “Multi-Focus Image Fusion Based on Edge-Preserving Filters.” In 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA). New York: IEEE. https://doi.org/10.1109/IPTA.2019.8936090.
Chicago author-date (all authors)
Xiao, Yifan, Ivana Shopovska, Peter Veelaert, and Wilfried Philips. 2019. “Multi-Focus Image Fusion Based on Edge-Preserving Filters.” In 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA). New York: IEEE. doi:10.1109/IPTA.2019.8936090.
Vancouver
1.
Xiao Y, Shopovska I, Veelaert P, Philips W. Multi-focus image fusion based on edge-preserving filters. In: 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA). New York: IEEE; 2019.
IEEE
[1]
Y. Xiao, I. Shopovska, P. Veelaert, and W. Philips, “Multi-focus image fusion based on edge-preserving filters,” in 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA), Istanbul, Turkey, 2019.
@inproceedings{8636606,
  abstract     = {{To break the limitation of camera imaging and acquire abundant information with multi-focus images, we present a novel multi-focus image fusion method based on edge-preserving filters. In this paper, the focusing level is measured by two cost functions and the focus map is constructed based on the winner- take-all manner. Besides, we demonstrate that the guided image filter (GIF) and the fast global smoother (FGS) have different advantages in image structure transferring and image smoothing, which can be utilized to construct the precise fusion weight maps. Combing with the weight maps acquired by GIF and FGS, the accurate all-in-focus image is obtained using a secondary fusion strategy. Experimental results show that the proposed method is competitive or even outperforms many state-of-the-art methods, which includes the recent CNN-based fusion method, while the proposed method is less time-consuming.}},
  author       = {{Xiao, Yifan and Shopovska, Ivana and Veelaert, Peter and Philips, Wilfried}},
  booktitle    = {{2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA)}},
  isbn         = {{9781728139746}},
  issn         = {{2154-5111}},
  keywords     = {{PERFORMANCE,Image fusion,Multi-focus images,Guided filter,Fast global smoother,Image fusion assessment metrics}},
  language     = {{eng}},
  location     = {{Istanbul, Turkey}},
  pages        = {{6}},
  publisher    = {{IEEE}},
  title        = {{Multi-focus image fusion based on edge-preserving filters}},
  url          = {{http://dx.doi.org/10.1109/IPTA.2019.8936090}},
  year         = {{2019}},
}

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