Abstract
Aiming at the color distortion of the restored image in the sky region, we propose an image dehazing algorithm based on double priors constraint. Firstly, we divided the haze image into sky and non-sky regions. Then the Color-lines prior and dark channel prior are used for estimating the transmission of sky and non-sky regions respectively. After introducing color-lines prior to correct sky regions restored by the dark channel prior, we get an accurate transmission. Finally, the local media mean value and standard deviation are used to refine the transmission to obtain the dehazing image. Experimental results show that the algorithm has obvious advantages in the recovery of the sky area.
Highlights
Image dehazing methods based on the degradation model have drawn a great attention in recent years
In order to achieve the dehazing in the sky region, this paper proposes an image dehazing algorithm based on double priors constraint
The atmospheric degradation model is proposed by McCartney [6], which can be written as equation (1): I (x) J (x)t(x) A(1 t(x))
Summary
Image dehazing methods based on the degradation model have drawn a great attention in recent years. After analyzing lots of outdoor haze-free image, dark channel prior was put forward [1] to estimate the initial transmission. This method can achieve satisfactory recovery effects in most natural scenes, which has been widely used for image dehazing at present. Li [4] separately estimated the transmission of the non-sky region and the sky region, suppressing the color distortion effectively, but the color of restored image is dark. In order to achieve the dehazing in the sky region, this paper proposes an image dehazing algorithm based on double priors constraint. After dividing the sky region, the proposed method introduce color-lines prior to correct sky regions restored by the dark. We obtain haze-free images by the atmospheric degradation model
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