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基于改进Retinex算法的无人机影像去雾方法

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针对传统的Retinex去雾算法处理有雾影像后存在色彩失真、去雾效果差等问题,对传统的算法进行了优化,提出一种改进Retinex算法的无人机影像去雾方法.首先,统计经过Retinex对数运算后的灰度分布情况,其次,使用改进白平衡算法对灰度值重新运算,最后,结合灰度世界和完美反射算法校正了无人机影像的色差.实验结果表明,该算法降低了色彩失真,使影像的细节更丰富,与其他算法相比,该算法评价指标整体提高,是一种有效的无人机影像去雾算法.
UAV image defogging method based on improved Retinex algorithm
Aiming at the problems such as color distortion and poor defogging effect of the traditional Retinex de-fogging algorithm,this paper proposes an improved Retinex defogging method for UAV images.Firstly,the gray dis-tribution after Retinex logarithm calculation is counted.Secondly,the improved white balance algorithm is used to re-calculate the gray value.Finally,the color difference of the UAV image is corrected by combining the gray world and the perfect reflection algorithm.The experimental results show that the proposed algorithm reduces the color dis-tortion and makes the image more detailed.Compared with other algorithms,the evaluation index of the proposed al-gorithm is improved overall.It is an effective defogging algorithm for UAV images.

UAV imageRetinex theorywhite balance algorithmcolor correctionimage defogging

吕毅

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贵州地矿基础工程有限公司,贵州 贵阳 550081

无人机影像 Retinex理论 白平衡算法 色彩校正 图像去雾

2024

贵州科学
贵州科学院

贵州科学

影响因子:0.395
ISSN:1003-6563
年,卷(期):2024.42(2)
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