An adaptive image dehazing algorithm based on global dark channel prior was proposed to solve the invalidation of original dark channel prior algorithm in bright areas and problems of block effect, Halo effect and higher computational complexity. In this method, the blocking operation was substituted by a global dark channel operation, and the fuzzy logic controller was used to estimate adaptively the threshold of bright areas and the adjustment factor of transmission. After the atmospheric light was estimated in non-bright areas, the miscalculated transmission in bright areas was corrected according to the adaptive tolerance. The algorithm was compared with three kinds of image restoration dehazing algorithms. Experiment results show that the algorithm shows a good subjective visual effect for dehazing images, and the objective evaluation criteria, image contrast, information entropy and average gradient are also superior in performance to those of the other algorithms compared. It concludes that the presented method effectively eliminates the distortion in bright areas and solve the above problems caused by blocking, and the visibility of dehazing image and the operating efficiency have been enhanced significantly.