Weighted Guided Image Filtering

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Weighted Guided Image Filtering
Weighted Guided Image Filtering
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IEEE Transactions on Image Processing
Publication Date:
14 November 2014
Z. Li, J. Zheng, Z. Zhu, W. Yao and S. Wu, "Weighted Guided Image Filtering," in IEEE Transactions on Image Processing, vol. 24, no. 1, pp. 120-129, Jan. 2015. doi: 10.1109/TIP.2014.2371234
It is known that local filtering-based edge preserving smoothing techniques suffer from halo artifacts. In this paper, a weighted guided image filter (WGIF) is introduced by incorporating an edge-aware weighting into an existing guided image filter (GIF) to address the problem. The WGIF inherits advantages of both global and local smoothing filters in the sense that: 1) the complexity of the WGIF is O(N) for an image with N pixels, which is same as the GIF and 2) the WGIF can avoid halo artifacts like the existing global smoothing filters. The WGIF is applied for single image detail enhancement, single image haze removal, and fusion of differently exposed images. Experimental results show that the resultant algorithms produce images with better visual quality and at the same time halo artifacts can be reduced/avoided from appearing in the final images with negligible increment on running times.
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(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
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