Two-stage underwater image restoration based on a physical model

Nan Wang, Lin Qi, Junyu Dong, Hao Fan, Xingnan Chen, Hui Yu

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    280 Downloads (Pure)

    Abstract

    Underwater images are blurred due to light scattering and absorption. Image restoration is therefore important in many underwater research and practical tasks. In this paper, we propose an effective two-stage method to restore underwater scene images. Based on an underwater light propagation model, we first remove backscatter by fitting a binary quadratic function. Then we eliminate the forward scattering and non-uniform lighting attenuation using blue-green dark channel prior. The proposed method requires no additional calibration and we show its effectiveness and robustness by restoring images captured under various underwater scenes.
    Original languageEnglish
    Title of host publicationProceedings of the Eighth International Conference on Graphic and Image Processing
    DOIs
    Publication statusEarly online - 8 Feb 2017
    Event2016 8th International Conference on Graphic and Image Processing - 2-3-1 Yoyogi, Shibuya-ku 151-0053, Tokyo, Japan
    Duration: 29 Oct 201631 Oct 2016
    http://www.icgip.org/

    Conference

    Conference2016 8th International Conference on Graphic and Image Processing
    Abbreviated titleICGIP 2016
    Country/TerritoryJapan
    CityTokyo
    Period29/10/1631/10/16
    Internet address

    Keywords

    • image restoration
    • light scattering
    • scattering
    • signal attenuation
    • absorption
    • backscatter
    • calibration

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