Traditional image dehazing algorithms usually appear halo phenomenon when processing regions with uneven brightness. In order to solve this problem, an adaptive bilateral filtering dehazing method based on boundary constraint is proposed. First, we use the histogram analysis method to obtain the threshold of bright region segmentation, thereby getting the global atmospheric background light. Second, a self-adaptive boundary limitation method is constructed to obtain the initial transmission image. The transmission map is optimized by an improved self-adaptive fast bilateral filtering method. Finally, the improved dark primary color theory method is used to obtain the final dehazing result. Through subjective and objective experimental analysis, we find that the proposed method is relatively superior to current dehazing methods in terms of visual effects and efficiency.