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Single image dehazing based on dark channel prior may encounter color distortion in bright region (such as sky region). Three methods are proposed to overcome the limitations of original algorithm. A transmission threshold firstly was determined. Then, by using the threshold to correct the transmission map in different ways and make it adaptive to fog, three algorithms can effectively deal with the...
The contrast of remote sensing images captured in haze condition is poor, which influences their interpretation. In this letter, a novel dehazing algorithm based on the deformed haze imaging model is proposed. First, the model is deformed by introducing a translation term. Second, the atmospheric light and transmission are estimated according to the new model combined with dark channel prior. Lastly,...
Dark-channel prior is a perfect theory to restore the outdoor haze image, but the color distortion is emerged when processing the bright region such as sky. Especially for inland river haze image, there is a large area of sky in image. To solve this problem, an improved dehazing algorithm is proposed in this paper. It first segments the haze image into sky and non-sky region through image segmentation...
Bad weather, such as fog and haze can significantly degrade the visibility of a scene. In order to overcome it, some approaches have been proposed. In this paper, we proposed a novel defogging algorithm just based on a single image. Firstly, we employ the method of dark channel prior as a foundation of our algorithm. After experimental analysis about the dark channel prior haze removal, we find that...
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