In view of the problems of color distortion,halo phenomenon and wrong estimation of atmospheric light value when dark channel algorithm is used to process the sky region in the image,an improved dark channel prior dehazing algorithm was proposed.The sky region of an image was roughly segmented using the physical characteristics of the sky region in the haze image,and the atmospheric light value was estimated in the sky region.An adaptive dual-threshold segmentation algorithm was designed for fine segmentation of the sky region,and a transmission estimation method based on bright channel prior was pro-posed.The sky region transmission value estimated using the bright channel prior model and the foreground region transmission value estimated using the dark channel prior model were fused.A fast guided filter was cited to refine the fused transmission,and the image restoration was completed based on the atmospheric scattering model.Experimental results show that using this algorithm effectively overcomes the defect of the dark channel algorithm,and well preserves the visual authenticity of restored image.
关键词
图像去雾/天空区域分割/自适应双阈值分割/暗亮通道先验/大气光估计/透射率/大气散射模型
Key words
image dehazing/sky region segmentation/adaptive dual threshold segmentation/dark and bright channel prior/at-mosphere light estimation/transmission/atmospheric scattering model
维普
万方数据