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首页> 外文期刊>Multimedia Tools and Applications >Adaptive dehazing control factor based fast single image dehazing
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Adaptive dehazing control factor based fast single image dehazing

机译：基于自适应除雾控制因子的快速单图像除雾

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The single image dehazing is performed using atmospheric scattering model (ASM). The ASM is based on transmission and atmospheric light. Thus, accurate estimation of transmission is essential for quality single image dehazing. Single image dehazing is of prime focus in research nowadays. The proposed work presents a fast and accurate method for single image dehazing. The proposed method works in two folds; (i) An adaptive dehazing control factor is proposed to estimate accurate transmission, which is based on difference of maximum and minimum color channel of hazy image, and (ii) a mathematical model to compute probability of a pixel to be at short distance is presented, which is utilized to locate haziest region of the image to compute the value of atmospheric light. The proposed method obtains visually compelling results, and recovers the information content (such as structural similarity, color, and visibility) accurately. The computation speed and accuracy of the proposed method is proved using quantitative and qualitative comparison of results with state of the art dehazing methods.
机译：使用大气散射模型（ASM）进行单图像除雾。 ASM基于透射和大气光。因此，传输的准确估计对于质量单图像去雾至关重要。如今，单图像去雾是研究的主要重点。提出的工作提出了一种快速，准确的单图像去雾方法。所提出的方法有两个方面。 （i）基于模糊图像最大和最小色彩通道的差异，提出了一种自适应除雾控制因子来估计准确的透射率，并且（ii）提出了一种数学模型来计算像素在近距离处的概率，用于定位图像的最模糊区域以计算大气光的值。所提出的方法获得视觉上令人信服的结果，并准确地恢复信息内容（例如结构相似性，颜色和可见性）。通过将结果与最新的除雾方法进行定量和定性比较，证明了该方法的计算速度和准确性。

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