Single Image Defogging Algorithm based on Dark Channel Priority

نویسندگان

  • Zhen Chen
  • Jihong Shen
  • Peter Roth
چکیده

Based on dark channel priority, the paper proposes an improved defogging algorithm of single image which can defog the foggy images rapidly. The algorithm in the paper applies the method combining adaptive median filter and bilateral filter to figure out clear dark channel on the edge. And the algorithm is based on the physical model of foggy images to estimate transmission. Compared with the traditional algorithm, the estimated transmission is detailed and clear, and has no need to be optimized, which not only overcomes the disadvantages of traditional algorithm using plenty of time to optimize transmission, but also reduces the complexity of the algorithm. The experimental results indicate that the algorithm realizes rapid and high-quality defogging on single image.

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عنوان ژورنال:
  • Journal of Multimedia

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2013