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    Underwater image and video dehazing with pure haze region segmentation 
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    Underwater image and video dehazing with pure haze region segmentation

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    Accepted Version (27.73Mb)
    Publisher
    Elsevier
    Publisher URL
    https://www.elsevier.com/
    DOI
    10.1016/j.cviu.2017.08.003
    Journal
    Computer Vision and Image Understanding
    ISSN
    1077-3142
    Metadata
    Show full item record
    Abstract
    Underwater scenes captured by cameras are plagued with poor contrast and a spectral distortion, which are the result of the scattering and absorptive properties of water. In this paper we present a novel dehazing method that improves visibility in images and videos by detecting and segmenting image regions that contain only water. The colour of these regions, which we refer to as pure haze regions, is similar to the haze that is removed during the dehazing process. Moreover, we propose a semantic white balancing approach for illuminant estimation that uses the dominant colour of the water to address the spectral distortion present in underwater scenes. To validate the results of our method and compare them to those obtained with state-of-the-art approaches, we perform extensive subjective evaluation tests using images captured in a variety of water types and underwater videos captured onboard an underwater vehicle.
    Authors
    EMBERTON, S; Chittka, L; Cavallaro, A
    URI
    http://qmro.qmul.ac.uk/xmlui/handle/123456789/25704
    Collections
    • College Publications [5176]
    Language
    English
    Licence information
    This is a pre-copyedited, author-produced version of an article accepted for publication in Computer Vision and Image Understanding following peer review. The version of record is available http://www.sciencedirect.com/science/article/pii/S1077314217301418?via%3Dihub
    Copyright statements
    https://doi.org/10.1016/j.cviu.2017.08.003
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