Efficient image/video dehazing through haze density analysis based on pixel-based dark channel prior

Chia Hung Yeh*, Li Wei Kang, Cheng Yang Lin, Chih Yang Lin

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

19 引文 斯高帕斯(Scopus)

摘要

Images/videos of outdoor scenes are usually degraded by the turbid medium in the atmosphere. In this paper, a novel single image-based dehazing framework is proposed to remove haze effects from image/video, where we propose two novel image priors, called the pixel-based dark channel prior and the pixel-based bright channel prior. Based on the two priors with the haze imaging model, we propose to accurately estimate the atmospheric light via haze density analysis. We can then accurately estimate the transmission map, followed by refining it via the bilateral filter. As a result, high-quality haze-free image can be recovered with lower computational complexity, which can be naturally extended to video dehazing.

原文英語
主出版物標題Proceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012
頁面238-241
頁數4
DOIs
出版狀態已發佈 - 2012
對外發佈
事件3rd International Conference on Information Security and Intelligent Control, ISIC 2012 - Yunlin, 臺灣
持續時間: 2012 八月 142012 八月 16

出版系列

名字Proceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012

會議

會議3rd International Conference on Information Security and Intelligent Control, ISIC 2012
國家/地區臺灣
城市Yunlin
期間2012/08/142012/08/16

ASJC Scopus subject areas

  • 人工智慧
  • 資訊系統

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