Improved Single Image Dehazing Using Guided Filter
Single image dehazing is challenging because it is massively ill-posed. Haze removal based on dark channel prior is effective, but refining the transmission map with closed-form matting is computationally expensive. Recent work discovered that using guided filter to refine the transmission map is feasible. In this paper, we elaborate single image dehazing by combining dark channel prior and guided image filtering in detail. By analyzing the tradeoffs of this approach, we propose an effective scheme to adapt the parameters. Experiments and comparisons show that our method generates satisfactory dehazed results with low computation.
Jiahao Pang Oscar C. Au Zheng Guo
The Hong Kong University of Science and Technology, Hong Kong
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-4
2011-10-18(万方平台首次上网日期,不代表论文的发表时间)