Content adaptive guided image filtering

Content adaptive guided image filtering
Title:
Content adaptive guided image filtering
Other Titles:
2014 IEEE International Conference on Multimedia and Expo (ICME)
Publication Date:
14 July 2014
Citation:
Z. Li, J. Zheng and Z. Zhu, "Content adaptive guided image filtering," 2014 IEEE International Conference on Multimedia and Expo (ICME), Chengdu, 2014, pp. 1-6. doi: 10.1109/ICME.2014.6890136
Abstract:
Local filtering based edge-preserving smoothing technique could suffer from halo artifacts when it is applied for image enhancement. In this paper, an adaptive guided image filter is proposed by incorporating edge aware weighting which is derived from normalized local variance of a guidance image into an existing guided filter. It is shown that the proposed filter preserves sharp edges better than the existing guided filter. With the observation, it is applied for tone mapping of high dynamic range images and fusion of differently exposed images. Experimental results show that the resultant tone mapping and exposure fusion algorithms can prevent halo artifacts from appearing in the final images.
License type:
PublisherCopyrights
Funding Info:
Description:
(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.
ISSN:
1945-7871
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