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

研究成果: 書貢獻/報告類型會議論文篇章同行評審

23 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???core.languages.en_GB???
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
出版狀態已出版 - 2012
事件3rd International Conference on Information Security and Intelligent Control, ISIC 2012 - Yunlin, Taiwan
持續時間: 14 8月 201216 8月 2012

出版系列

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???3rd International Conference on Information Security and Intelligent Control, ISIC 2012
國家/地區Taiwan
城市Yunlin
期間14/08/1216/08/12

指紋

深入研究「Efficient image/video dehazing through haze density analysis based on pixel-based dark channel prior」主題。共同形成了獨特的指紋。

引用此