Adaptive optimization defogging algorithm based on linear model

Aiming at the problem of insufficient estimate of transmittance and atmospheric light in linear transformation algorithm, an adaptive optimization defogging algorithm based on linear model was proposed. First, the edge information model was used to enhance the detailed information of the initial transmittance image, so that the edge region details of the restored image were richer. Then, an adaptive optimization transmittance was obtained to better process the image including the depth of field region by the dark channel prior. Finally, the local atmospheric light estimate method was used instead of the quadtree method to avoid the inaccuracy of atmospheric light estimate, and the image was restored by combining with the physical model. The simulation experiment was carried out in matlab2014, and the experimental results show that the proposed algorithm has good validity and timeliness.