An image dehazing method based on weighted dark channel prior

The classical method based on dark channel prior only considers the estimated transmission map and does not take into account the depth information to optimize the soft matting function, which makes the result contain few halo artifacts in depth discontinuity and haze-removal effect in the region far from the viewpoint is degraded. For this issue, a simple but efficient image dehazing method is proposed with weighted dark channel prior based on edge feature. Using this method, depth continuity can be estimated by position of edge points, and refined transmission map is obtained by different weight of edge points and non-edge points. Experimental results show that detail information is well preserved and no halo artifacts in haze-free image, and demonstrates the feasibility and effectiveness of the proposed algorithm.