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Journal of Electronic Imaging

Fast single image dehazing based on image fusion
Author(s): Haibo Liu; Jie Yang; Zhengping Wu; Qingnian Zhang
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Paper Abstract

Images captured in foggy weather conditions often fade the colors and reduce the contrast of the observed objects. An efficient image fusion method is proposed to remove haze from a single input image. First, the initial medium transmission is estimated based on the dark channel prior. Second, the method adopts an assumption that the degradation level affected by haze of each region is the same, which is similar to the Retinex theory, and uses a simple Gaussian filter to get the coarse medium transmission. Then, pixel-level fusion is achieved between the initial medium transmission and coarse medium transmission. The proposed method can recover a high-quality haze-free image based on the physical model, and the complexity of the proposed method is only a linear function of the number of input image pixels. Experimental results demonstrate that the proposed method can allow a very fast implementation and achieve better restoration for visibility and color fidelity compared to some state-of-the-art methods.

Paper Details

Date Published: 27 January 2015
PDF: 10 pages
J. Electron. Imaging. 24(1) 013020 doi: 10.1117/1.JEI.24.1.013020
Published in: Journal of Electronic Imaging Volume 24, Issue 1
Show Author Affiliations
Haibo Liu, Wuhan Univ. of Technology (China)
Hunan Institute of Technology (China)
Jie Yang, Wuhan Univ. of Technology (China)
Zhengping Wu, Wuhan Univ. of Technology (China)
Qingnian Zhang, Wuhan Univ. of Technology (China)

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