Fast single image dehazing based on image fusion

Haibo Liu; Jie Yang; Zhengping Wu; Qingnian Zhang

doi:10.1117/1.JEI.24.1.013020

27 January 2015 Fast single image dehazing based on image fusion

Haibo Liu, Jie Yang, Zhengping Wu, Qingnian Zhang

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 1, 013020 (January 2015). https://doi.org/10.1117/1.JEI.24.1.013020

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.

Citation Download Citation

Haibo Liu, Jie Yang, Zhengping Wu, and Qingnian Zhang "Fast single image dehazing based on image fusion," Journal of Electronic Imaging 24(1), 013020 (27 January 2015). https://doi.org/10.1117/1.JEI.24.1.013020

Published: 27 January 2015

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