Regular Articles

Feature-based multiexposure image-sequence fusion with guided filter and image alignment

[+] Author Affiliations
Liang Xu

Beijing University of Posts and Telecommunications, School of Computer Science, Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, No. 10 Xitucheng Road, Haidian District, Beijing 100876, China

Junping Du

Beijing University of Posts and Telecommunications, School of Computer Science, Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, No. 10 Xitucheng Road, Haidian District, Beijing 100876, China

Zhenhong Zhang

Beijing University of Posts and Telecommunications, School of Computer Science, Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, No. 10 Xitucheng Road, Haidian District, Beijing 100876, China

J. Electron. Imaging. 24(1), 013022 (Feb 04, 2015). doi:10.1117/1.JEI.24.1.013022
History: Received May 11, 2014; Accepted November 12, 2014
Text Size: A A A

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.

Figures in this Article
© 2015 SPIE and IS&T

Citation

Liang Xu ; Junping Du and Zhenhong Zhang
"Feature-based multiexposure image-sequence fusion with guided filter and image alignment", J. Electron. Imaging. 24(1), 013022 (Feb 04, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.1.013022


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.