Underwater Image Enhancement Based on the Iteration of a Generalization of Dark Channel Prior

Yosuke Ueki, Masaaki Ikehara

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

    Abstract

    Underwater image enhancement is important for images captured in underwater because underwater images often suffer from color cast, low contrast and degraded visibility due to the absorption and scattering of light in water. In this paper, we propose a novel algorithm for underwater image restoration based on a generalization of the dark channel prior (GDCP). Though there are various types of underwater images, we especially focus on underwater images with depth because these images are not enhanced well by current algorithms. The proposed algorithm is composed of the iteration of GDCP and image fusion. Additionally, we introduce the new ambient light estimation to adapt to more types of images. Experimental results show that proposed algorithm is effective for various types of underwater images, especially for the images with depth.

    Original languageEnglish
    Title of host publication2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728137230
    DOIs
    Publication statusPublished - 2019 Dec
    Event34th IEEE International Conference on Visual Communications and Image Processing, VCIP 2019 - Sydney, Australia
    Duration: 2019 Dec 12019 Dec 4

    Publication series

    Name2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019

    Conference

    Conference34th IEEE International Conference on Visual Communications and Image Processing, VCIP 2019
    CountryAustralia
    CitySydney
    Period19/12/119/12/4

    Keywords

    • ambient light estimation
    • image enhancement
    • image restoration
    • transmission estimation
    • underwater image

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Signal Processing
    • Computer Networks and Communications
    • Media Technology

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  • Cite this

    Ueki, Y., & Ikehara, M. (2019). Underwater Image Enhancement Based on the Iteration of a Generalization of Dark Channel Prior. In 2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019 [8965726] (2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VCIP47243.2019.8965726