Improved Haze Removal Algorithm Using Dark Channel Prior
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    Abstract:

    In order to better eliminate the targeted haze in image, an improved haze removal algorithm aiming to solve the shortage of original dark channel prior is proposed. First, the self-adaptive boundary is used to obtain the dark channel region block, and the interval of the atmospheric light intensity is estimated. Then, the transmittance repair method is improved. By including fault tolerance method, the improved algorithm can conveniently deal with the bright area which the original algorithm did not handle. The experimental results show that the improved algorithm can effectively remove the haze and bright area of the image.

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杨帅,张明.改进的暗原色先验去雾算法.计算机系统应用,2018,27(6):118-123

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History
  • Received:September 21,2017
  • Revised:October 18,2017
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  • Online: May 29,2018
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