Images and videos taken outside the foggy day are serious degraded. In order to restore degraded image taken in foggy day and overcome traditional Dark Channel prior algorithms problems of remnant fog in edge, we propose a new dehazing method.We first find the fog area in the dark primary color map to obtain the estimated value of the transmittance using quadratic tree. Then we regard the gray-scale image after guided filtering as atmospheric light map and remove haze based on it. Box processing and image down sampling technology are also used to improve the processing speed. Finally, the atmospheric light scattering model is used to restore the image. A plenty of experiments show that algorithm is effective, efficient and has a wide range of application.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Real-time single image dehazing based on dark channel prior theory and guided filtering


    Beteiligte:
    Zhang, Zan (Autor:in)

    Kongress:

    AOPC 2017: Space Optics and Earth Imaging and Space Navigation ; 2017 ; Beijing,China


    Erschienen in:

    Proc. SPIE ; 10463


    Erscheinungsdatum :

    2017-10-24





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Adaptive Image Dehazing with Dark Channel Prior and Edge Components

    Liu, Nan / Cheng, Yongmei / Wang, Huaxia | IEEE | 2018


    Prior based Single Image Dehazing using Decision Image

    Parihar, Anil Singh / Gupta, Gokul | IEEE | 2020



    Single-Image Dehazing

    Tian, Jiandong | Springer Verlag | 2021