Single Image Dehazing Based on Sky Area Segmentation and Image Fusion

ince the dark channel prior (DCP)-based dehazing method is ineffective in the sky area and will cause the problem of too dark and color distortion of the image, we propose a novel dehazing method based on sky area segmentation and image fusion. We first segment the image according to the characteristics of the sky area and non-sky area of the image, then estimate the atmospheric light and transmission map ac-cording to the DCP and correct them, and then fuse the original image after the contrast adaptive histogram equalization to improve the details infor-mation of the image. Experiments illustrate that our method performs well in dehazing and can reduce image distortion. tion achieve which caused ars. the