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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/18772

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/18772

    Title: Efficient Image/Video Dehazing through Haze Density Analysis Based on Pixel-based Dark Channel Prior
    Authors: 林智揚;Lin, Chih-Yang
    Contributors: 資訊工程學系
    Date: 2012-08
    Issue Date: 2012-11-26 13:58:21 (UTC+8)
    Abstract: 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.
    Relation: The Third International Conference on Information Security and Intelligent Control
    Appears in Collections:[資訊工程學系] 期刊論文

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