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Fast single image dehazing based on image fusion

[+] Author Affiliations
Haibo Liu

Wuhan University of Technology, Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Luoshi Road 122, Wuhan 430070, China

Hunan Institute of Technology, School of Electrical and Information Engineering, Henghua Road 18, Hengyang 421002, China

Jie Yang

Wuhan University of Technology, Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Luoshi Road 122, Wuhan 430070, China

Zhengping Wu

Wuhan University of Technology, Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Luoshi Road 122, Wuhan 430070, China

Qingnian Zhang

Wuhan University of Technology, School of Transportation, Luoshi Road 122, Wuhan 430070, China

J. Electron. Imaging. 24(1), 013020 (Jan 27, 2015). doi:10.1117/1.JEI.24.1.013020
History: Received August 20, 2014; Accepted December 29, 2014
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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.

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Citation

Haibo Liu ; Jie Yang ; Zhengping Wu and Qingnian Zhang
"Fast single image dehazing based on image fusion", J. Electron. Imaging. 24(1), 013020 (Jan 27, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.1.013020


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