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Journal of Electronic Imaging

Feature-based multiexposure image-sequence fusion with guided filter and image alignment
Author(s): Liang Xu; Junping Du; Zhenhong Zhang
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Paper Abstract

Multiexposure fusion images have a higher dynamic range and reveal more details than a single captured image of a real-world scene. A clear and intuitive feature-based fusion technique for multiexposure image sequences is conceptually proposed. The main idea of the proposed method is to combine three image features [phase congruency (PC), local contrast, and color saturation] to obtain weight maps of the images. Then, the weight maps are further refined using a guided filter which can improve their accuracy. The final fusion result is constructed using the weighted sum of the source image sequence. In addition, for multiexposure image-sequence fusion involving dynamic scenes containing moving objects, ghost artifacts can easily occur if fusion is directly performed. Therefore, an image-alignment method is first used to adjust the input images to correspond to a reference image, after which fusion is performed. Experimental results demonstrate that the proposed method has a superior performance compared to the existing methods.

Paper Details

Date Published: 4 February 2015
PDF: 11 pages
J. Electron. Imaging. 24(1) 013022 doi: 10.1117/1.JEI.24.1.013022
Published in: Journal of Electronic Imaging Volume 24, Issue 1
Show Author Affiliations
Liang Xu, Beijing Univ. of Posts and Telecommunications (China)
Junping Du, Beijing Univ. of Posts and Telecommunications (China)
Zhenhong Zhang, Beijing Univ. of Posts and Telecommunications (China)


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