基于图像增强的无人机侦察图像去雾方法

针对无人机(UAV)雾霾天气下的侦察图像,并考虑无人机自身特性,提出了一种新的基于图像增强的无人机侦察图像去雾方法。该方法从图像处理的角度,通过对图像分别进行白平衡处理和对比度增强处理,基于图像融合和自动色阶处理,最终得到复原图像。选取无人机侦察图像进行去雾,并从主观和客观对实验结果进行评价,本方法得到的去雾图像的图像评价指标均有明显提高;同时与其他典型的去雾方法相比,综合评价指标提升,证明本方法可以得到良好的去雾效果。

Haze removal method for UAV reconnaissance images based on image enhancement

On account of the unmanned aerial vehicle (UAV) reconnaissance images under the hazy weather conditions,considering the characteristics of UAV itself,this paper proposes a novel method for dehazing UAV reconnaissance images based on image enhancement.Through automatic white balance and contrast enhancement for images respectively,the final restored image can be obtained based on image fusion and auto levels.Then we choose UAV reconnaissance images for haze removal and evaluate the result of the experiment from the perspective of subjective and objective.The experimental results show that the image evaluation indexes of dehazing images are improved obviously.Compared with other typical haze removal methods,the comprehensive index of the image restored by the proposed method increases,which proves that the proposed method can obtain excellent dehazing effect.