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Single Image Dehazing Algorithm Based on Sky Region Segmentation

机译:基于天空区域分割的单图像去雾算法

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摘要

Great progress has been made in image dehazing recently, while the sky region processed by these algorithms tends to be degraded by serious noise and color distortion. Based on the in-depth analysis on the degradation, the paper proposes an improved dehazing algorithm which first segments the haze image into the sky and non-sky region, then estimates the coefficients of the two regions separately, followed by the combination of the regions with a refining step. Experiment results show that the proposed algorithm provides significant advantage in generating smoother and more natural sky region, while keeping the non-sky region almost the same as the state of the art algorithms.
机译:最近,在图像去雾方面已经取得了很大的进展,而由这些算法处理的天空区域往往会由于严重的噪声和色彩失真而退化。在对退化进行深入分析的基础上,提出了一种改进的除雾算法,该算法首先将雾度图像分割为天空和非天空区域,然后分别估计两个区域的系数,然后对区域进行组合提炼步骤。实验结果表明,该算法在产生更平滑,更自然的天空区域方面具有显着的优势,同时保持非天空区域与现有算法的状态几乎相同。

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