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基于自适应维纳滤波的单幅图像快速去雾算法
A fast method for single image hazing using adaptive wiener filtering
【摘要】 在雾霾天气中,摄像头拍摄图像的对比度和清晰度都会受天气影响而降低,针对这类问题,提出一种基于自适应维纳滤波的快速去雾算法。算法基于大气散射物理模型,通过软件阈值分割法估计全局大气光,利用自适应维纳滤波算法估计大气光模型。实验结果表明,该算法具有较高的处理效率,能够较好还原无雾图像和保持图像的边沿细节。
【Abstract】 In haze weather,the camera image’s contrast and resolution is reduced,affecting most outdoor applications of visual system.For this reason,this paper presents a fast method for single image hazing using adaptive wiener filtering.This algorithm is based on the atmosphere scattering model,and the global atmospheric light is estimated by the software threshold segmentation method.Adaptive wiener filtering algorithm is used to estimate the air veiling.The experimental results show that this proposed method can restore the natural clear image well,and can? better preserve the edge details of the image.In addition,in the image the method is processing efficiency with better real-time performance.
【Key words】 Haze removal; Atmosphere scattering model; Threshold segmentation method of software; Adaptive Wiener filtering;
- 【文献出处】 信息通信 ,Information & Communications , 编辑部邮箱 ,2017年05期
- 【分类号】TP391.41
- 【被引频次】3
- 【下载频次】169