Journal of Applied Optics, Volume. 45, Issue 1, 89(2024)

Underwater image enhancement based on multiscale residual attention networks

Qingjiang CHEN, Xuanjun WANG*, and Fei SHAO
Author Affiliations
  • School of Science, Xi'an University of Architecture and Technology, Xi'an 710055, China
  • show less
    References(21)

    [1] XU Xiaojun, LU Qisheng, SHU Baihong et al. Back-scattering model and experiment of laser illuminating[J]. Infrared and Laser Engineering, 30, 60(2001).

    [2] LI Fangzhu. A review of the theory of submarine jet genesis hot water depositional metallogenesis[J]. Geological Science and Technology Information, 12, 4(1993).

    [3] DENG quan, LIN Mingxing. Improved SSD-based marine organism detection algorithm[J]. Computer Technology and Development, 32, 51-56(2022).

    [4] MA Yanru. A preliminary study on the desalination and conservation of ceramics from underwater archaeological excavations in China[J]. Museum Research, 85-89(2007).

    [5] ZUIDERVELD K. Contrast limited adaptive histogram equalization[J]. Graphics Gems, 474-485(1994).

    [6] IQBAL K, ODETAYO M O, JAMES A E et al. Enhancing the low quality images using unsupervised colour correction method[C], 1703-1709(2010).

    [7] DREWS P L J, NASCIMENTO E R, BOELHO S S C et al. Underwater depth estimation and image restoration based on single images[J]. IEEE Transactions on Computer Graphics and Applications, 36, 24-35(2016).

    [8] PENG Y T, COSMAN P C. Underwater image restoration based on image blurriness and light absorption[J]. IEEE Transactions on Image Process, 26, 1579-1594(2017).

    [9] SUN X, LIU L, LI Q et al. Deep pixel-to-pixel network for underwater image enhancement and restoration[J]. IET Image Processing, 13, 469-474(2019).

    [10] LI C, ANWAR S. Underwater scene prior inspired deep underwater image and video enhancement[J]. Pattern Recognition, 98, 2105-2111(2019).

    [11] LU L, YUN L, XIAO Q et al. Evaluating fast algorithms for convolutional neural networks on FPGAs[C], 857-870.

    [12] HE K, ZHANG X, REN S et al. Deep residual learning for image recognition[C], 770-778(2016).

    [14] RONNEBERGER O, FISCHER P, BROX T. U-Net: convolutional networks for biomedical image segmentation[C], 234-241(2015).

    [15] ZHOU Z, SIDDIQUEE M, TAJBAKHSH N et al. UNet++: redesigning skip connections to exploit multiscale features in image segmentation[J]. IEEE Transactions on Medical Imaging, 39, 1856-1867(2020).

    [16] HUANG G, LIU Z, LAURENS V et al. Densely connected convolutional networks[C], 17355312(2017).

    [17] LAI W, HUANG J, AHUJA N et al. Fast and accurate image super-resolution with deep laplacian pyramid networks.[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41, 2599-2613(2019).

    [18] ZHU J Y, PARK T, ISOLA P et al. Unpaired image-to-image translation using cycle-consistent adversarial networks[C], 17453078(2017).

    [19] UEKI Y, IKEHARA M. Underwater image enhancement with multi-scale residual attention network[C], 1-5(2021).

    [20] ZHANG L, ER M J, WANG Z et al. Underwater image enhancement based on AttR2U-Net and multi-residual networks[C], 90-95(2022).

    [21] WANG Z, SAIXIAN H E. An adaptive edge-detection method based on Canny algorithm[J]. Journal of Image and Graphics, 9, 957-962(2004).

    Tools

    Get Citation

    Copy Citation Text

    Qingjiang CHEN, Xuanjun WANG, Fei SHAO. Underwater image enhancement based on multiscale residual attention networks[J]. Journal of Applied Optics, 2024, 45(1): 89

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Feb. 24, 2023

    Accepted: --

    Published Online: May. 28, 2024

    The Author Email: Xuanjun WANG (王炫钧(1998—))

    DOI:10.5768/JAO202445.0102003

    Topics