Fast Single Image Dehazing Based on Interval Estimation
LIU Haibo①② YANG Jie① WU Zhengping① ZHANG Qingnian③ DENG Yong①
①(Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, Wuhan 430070, China) ②(School of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang 421002, China) ③(School of Transportation, Wuhan University of Technology, Wuhan 430070, China)
In order to solve the problem of degraded images captured in hazy weather, a single image dehazing method based on interval estimation is proposed. From the atmospheric scattering model, the minimal filtering and gray-scale opening operation are used to estimate the value of atmospheric light based on dark channel prior theory. At the same time, the initial estimated value of medium transmission is defined. Then, the white balance is performed and the atmospheric scattering model is simplified. Secondly, the simplified atmospheric scattering model and initial estimated value of medium transmission are used to estimate the dark channel value of scene albedo, which is adopted to obtain the coarse estimated value of medium transmission. The final estimated value of medium transmission is obtained by getting through image fusion, joint bilateral filtering and range adjustment. Finally, the simplified atmospheric scattering model and tone mapping are adopted to get the restored image. Experimental results show that the proposed algorithm has a high computation speed, effectively improves the clarity and contrast of restored image, and obtains good color fidelity.
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LIU Haibo, YANG Jie, WU Zhengping, ZHANG Qingnian, DENG Yong. Fast Single Image Dehazing Based on Interval Estimation. JEIT, 2016, 38(2): 381-388.
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