冯 辉,王露露,周晓晓.基于暗通道边缘细化的图像快速去雾算法研究[J].中南民族大学学报自然科学版,2017,(3):101-105,124
基于暗通道边缘细化的图像快速去雾算法研究
Research on Fast Image Defogging Algorithm Based on Edge Thinning of Dark Channel
  
DOI:
中文关键词: 图像  暗通道先验  去雾  边缘细化  透射率修正
英文关键词: image  dark channel prior  defogging  edge thinning  transmissivity correction
基金项目:国家自然科学基金资助项目(61501173) ; 淮安市重点研发计划(HAG2015009)
作者单位
冯 辉1,2,王露露1,周晓晓1 1 河海大学 计算机与信息学院南京 210098; 2 江苏财经职业技术学院 机械电子与信息工程学院淮安 223003 
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中文摘要:
      指出了在雾霾天气下,镜头获得的户外图像必然会出现降质和退化等问题, 暗通道先验算法能够很好地解决有雾图像复原的问题,但是其时效性较低. 针对这些问题,提出了一种对暗通道图进行边缘细化修正的改进图像快速去雾算法. 该算法对暗通道边缘进行细化,并对透射率进行适度修正,以加快透射率的细化过程并提高图像复原的性能. 实验结果表明: 所提算法在图像复原质量和速度上都有了较大的提升,具有一定的实用价值.
英文摘要:
      In fog and haze, the outdoor images will be degraded. The dark channel prior algorithm can solve the problem through fog image recovery, but its effectiveness is low. To address this problem, an improved fast dehazing method for images edge thinning correction of dark channel is proposed. The edge of dark channel is thinning step by step, and the transmissivity is corrected appropriately to speed up the thinning process and improve the performance of image restoration.The experimental results show that the algorithm proposed in this paper has greatly improved the quality and speed of image restoration, and has some practical value.
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