关键词: 视频去雾, 点暗原色先验, 四叉树法, 引导滤波, 直方图均衡化

Abstract: Dark channel prior often keeps residual haze near depth edges after haze removal, and leads to a dim image and color distortion in sky area. Moreover, its processing speed is too slow. To solve these problems, this paper proposes an effective and fast method for real-time video dehazing based on dark channel prior and guided filter. Firstly, this paper replaces patch-based dark channel prior into pixel-based dark channel prior to eliminate block effect, applies guided filter to refine the transmission map, and employs quad-tree subdivision to estimate atmospheric light precisely. Furthermore, in order to get a visually-pleasing result, this paper adopts histogram equalization to enhance dehazed image. Finally, this paper uses downsampling and redundant information between each frame to reduce computational burden. Experimental results show that the proposed method is much better, it has less calculation quantity and a wide range of application suitable for real-time video dehazing.

Key words: video dehazing, pixel-based dark channel prior, quad-tree subdivision, guided filter, histogram equalization