顾及图像分割与暗通道先验的去雾霾方法OA

Aiming at the problem of color distortion in the image after the dark channel prior to removing the haze,a haze removal method for remote sensing image of fusing image segmentation and the dark channel prior rules is proposed in this paper.Firstly,it introduces the gradient operator of the Gaussian weighting matrix to obtain the gradient information of the image,and provides the constraints of image segmentation for the dark channel haze removal.Secondly,the gradient information is divided by gradient threshold,so as to improve the differential processing of different brightness areas.Finally,the dark channel transmittance is modified based on the gradient threshold to constrain the processing results of the dark channel prior and realize the differential processing of different brightness areas.The experimental results show that both subjective visual interpretation and objective indicators have a better processing effect on relatively uniform images containing haze.