利用暗原色先验知识实现航空影像快速去雾

Using Dark Channel Prior to Quickly Remove Haze from a Single Image

  • 摘要: 针对城区影像中存在的白色建筑物、城市广场、水泥路面等区域暗原色先验失效问题和现有的去雾流程中地物辐射大气透射率计算复杂、耗时的弊端,利用航空影像中的雾分布相对均匀,且景深变化不大的特点,在保证不明显降低去雾效果的前提下,设计了一种新的透射率快速计算方法,实现航空影像的快速去雾处理。利用多幅影像数据进行实验,并设计了一组图像清晰度评价指标,对去雾结果进行定量分析。

     

    Abstract: Haze is an important influence factor of visible light RS data's obtaining and using.Based on dark channel prior and haze image model,we study the dehaze technology from a single image.Aim at the problem of dark channel prior not work for special region of city image and traditional medium transmission computing method's disadvantage: complex,time-consuming,making use of RS image's characteristics: haze distributes relatively more uniform and depth of field change not acutely,proposes a new quick computing method on the premise of not markedly reduce dehaze effect,to realize single image fast dehaze processing.Using multiple frame images to make system experiment,and do quantitative analysis to dehaze result images' definition.

     

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