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Detail-enhanced and brightness-adjusted exposure image fusion

[+] Author Affiliations
Guocheng Yang

University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu 611731, China

Sichuan Medical University, Department of Biomedical Engineering, Luzhou 646000, China

Provincial Key Laboratory of Digital Media, Chengdu 611731, China

Meiling Li

University of Electronic Science and Technology of China, School of Life Science and Technology, Chengdu 611731, China

Yunbo Rao

University of Electronic Science and Technology of China, School of Information and Software Engineering, Chengdu 610054, China

Leiting Chen

University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu 611731, China

Provincial Key Laboratory of Digital Media, Chengdu 611731, China

J. Electron. Imaging. 24(3), 033017 (May 28, 2015). doi:10.1117/1.JEI.24.3.033017
History: Received July 20, 2014; Accepted May 4, 2015
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Abstract.  We present a multiexposure image fusion method that can enhance details, yet effectively improve brightness in the final result. In addition, a valid weight measurement is developed to remove motion objects in dynamic scenes. During the fusion process, each source image is first decomposed into one low-pass sub-band and a series of high-pass directional sub-bands using the nonsubsampled contourlet transform. Then the blended sub-bands are constructed by weight maps of the source images. To preserve the details of source images and adjust brightness of final image, gain control maps are used for each fused sub-band. Experimental results demonstrate that the proposed method significantly outperforms the traditional methods in terms of both visual inspection and objective evaluation, especially in cases which the regions of interest are in dark areas.

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© 2015 SPIE and IS&T

Topics

Image fusion

Citation

Guocheng Yang ; Meiling Li ; Yunbo Rao and Leiting Chen
"Detail-enhanced and brightness-adjusted exposure image fusion", J. Electron. Imaging. 24(3), 033017 (May 28, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.3.033017


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