雾霾天气彩色图像的局域非线性变换增强算法

Color Image Enhancement Using Nonlinear Sub-Block Overlapping Local Equilibrium Algorithm Under Fog and Haze Weather Conditions

  • 摘要: 基于数字图像处理的实时图像增强处理技术可有效地降低受到雾、霾等大气环境的影响,严重限制了电视成像系统的性能和使用环境这种不利影响,本文分析了雾、霾等大气环境对彩色电视成像系统产生影响的原因,研究了基于Retinex理论的图像增强方法和子块部分重叠局域亮度灰度非线性变换算法,并对这几种算法的处理效果及算法复杂程度进行了对比. 结果表明,子块部分重叠局域亮度灰度非线性变换算法是一种处理效果和处理速度比较平衡的算法.

     

    Abstract: Digital image processing based on real-time image enhancement techniques can effectively reduce the influence of fog and haze weather conditions on image quality. First, the critical factors that the color TV imaging system could be affected by atmospheric environment were analyzed. Then, two image enhancement methods, image enhancement method based on Retinex theory and nonlinear sub-block overlapping local balancing algorithm, were studied. Further, the performances of treatment effect and algorithm complexity of two types of algorithms were compared. The comparison results show that the non-line sub-block overlapping local equilibrium enhancement algorithm could achieve a balance between processing speed and effectiveness.

     

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