Image dehazing based on triangle loop dichotomy algorithm

In order to improve the quality of image dehazing, the triangle loop dichotomy algorithm is presented. Firstly, the dark channel prior is used to analyze the image dehazing. Secondly, using triangle loop dichotomy algorithm ,the atmospheric light value is calculated accurately, the hazing image is divided into four triangular areas along the diagonal line, and the supreme hazing area is dichotomized only, which is selected the midpoint and connected the vertex of the longest side. The cycle execution is ended until satisfying the preset threshold. Thirdly, the adaptive transmission is made to avoid the color distortion. Finally, the algorithm process was given. The simulation results show that the triangle loop dichotomy algorithm is more clear in visual perception after image dehazing, number of edge sets, average gradient, the histogram similarity coefficient and the comprehensive evaluation index are better than other algorithms. It can satisfy the requirements of image clearness and information.