Optics and Precision Engineering, Volume. 30, Issue 22, 2939(2022)

Coarse-to-fine underwater image enhancement based on multi-level wavelet transform

Guoming YUAN1, Guang YANG2、*, Jinfeng WANG2, Haijun LIU1, and Wei WANG2
Author Affiliations
  • 1Department of Emergency Management, Institute of Disaster Prevention, Sanhe06520, China
  • 2Department of Information Engineering, Institute of Disaster Prevention, Sanhe06501, China.
  • show less
    References(21)

    [1] [1] 1舒岳阶, 吴俊, 周远航, 等. 水工物理模型水下高精度超声水位测量[J]. 光学 精密工程, 2020, 28(9): 2027-2034. doi: 10.37188/OPE.20202809.2027SHUY J, WUJ, ZHOUY H, et al. Underwater high-precision ultrasonic water level measurement method for hydraulic physical model[J]. Opt. Precision Eng., 2020, 28(9): 2027-2034.(in Chinese). doi: 10.37188/OPE.20202809.2027

    [2] [2] 2褚金奎, 张培奇, 成昊远, 等. 基于特定偏振态成像的水下图像去散射方法[J]. 光学 精密工程, 2021, 29(5): 1207-1215. doi: 10.37188/OPE.20212905.1207CHUJ K, ZHANGP Q, CHENGH Y, et al. De-scattering method of underwater image based on imaging of specific polarization state[J]. Opt. Precision Eng., 2021, 29(5): 1207-1215.(in Chinese). doi: 10.37188/OPE.20212905.1207

    [3] [3] 3高文, 肖海峰. 基于动态双稳随机共振的低照度彩色图像增强[J]. 液晶与显示, 2021, 36(6): 861-868. doi: 10.37188/CJLCD.2020-0283GAOW, XIAOH F. Low illumination color image enhancement based on dynamic bistable stochastic resonance[J]. Chinese Journal of Liquid Crystals and Displays, 2021, 36(6): 861-868.(in Chinese). doi: 10.37188/CJLCD.2020-0283

    [4] [4] 4邓箴, 王一斌, 刘立波. 视觉注意机制的注意残差稠密神经网络弱光照图像增强[J]. 液晶与显示, 2021, 36(11): 1463-1473. doi: 10.37188/CJLCD.2021-0098DENGZH, WANGY B, LIUL B. Attentive residual dense network of visual attention mechanism for weakly illuminated image enhancement[J]. Chinese Journal of Liquid Crystals and Displays, 2021, 36(11): 1463-1473.(in Chinese). doi: 10.37188/CJLCD.2021-0098

    [5] [5] 5王德兴, 王越, 袁红春. 基于Inception-Residual和生成对抗网络的水下图像增强[J]. 液晶与显示, 2021, 36(11): 1474-1485. doi: 10.37188/CJLCD.2021-0058WANGD X, WANGY, YUANH CH. Underwater image enhancement based on Inception-Residual and generative adversarial network[J]. Chinese Journal of Liquid Crystals and Displays, 2021, 36(11): 1474-1485.(in Chinese). doi: 10.37188/CJLCD.2021-0058

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

    [7] S ASADI, F AZARI, H HASSANPOUR. Improving dark channel prior for single image dehazing. International Journal of Engineering, 28, 880-887(2015).

    [8] X J LI, G J HOU, L TAN et al. A hybrid framework for underwater image enhancement. IEEE Access, 197448-197462(8).

    [9] H J SONG, L B CHANG, Z W CHEN et al. Enhancement-registration-homogenization (ERH): a comprehensive underwater visual reconstruction paradigm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, 6953-6967(2022).

    [10] X R HU. Underwater image enhancement method based on wavelet transform and retinex, 86-90(2021).

    [13] M J ISLAM, Y Y XIA, J SATTAR. Fast underwater image enhancement for improved visual perception. IEEE Robotics and Automation Letters, 5, 3227-3234(2020).

    [14] X Y HE, Z T MO, P S WANG et al. ODE-inspired network design for single image super-resolution, 1732-1741(2019).

    [15] Z Y MA. A wavelet-based dual-stream network for underwater image enhancement, 2769-2773(2022).

    [16] K C SUN, F MENG, Y B TIAN. Multi-level wavelet-based network embedded with edge enhancement information for underwater image enhancement. Journal of Marine Science and Engineering, 10, 884(2022).

    [17] S W ZAMIR, A ARORA, S KHAN et al. Multi-stage progressive image restoration, 14816-14826(2021).

    [18] J X ZHENG, T W QIU, L H CHEN et al. Image semantic segmentation based on joint normalization, 121-127(2022).

    [19] G ARORA, V JOSHI, I S GARKI. 9 Developments in Runge-Kutta Method to Solve Ordinary Differential Equations. Recent Advances in Mathematics for Engineering, 193-202(2020).

    [20] C LI, C GUO, W REN et al. An underwater image enhancement benchmark dataset and beyond. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society, 2019(2019).

    [21] [21] 21李莉, 王新强, 银珊. 基于衰减补偿与直方图拉伸的水下图像增强算法[J]. 计算机工程, 2022, 48(6): 222-227.LIL, WANGX Q, YINSH. Underwater image enhancement algorithm based on attenuation compensation and histogram stretching[J]. Computer Engineering, 2022, 48(6): 222-227.(in Chinese)

    Tools

    Get Citation

    Copy Citation Text

    Guoming YUAN, Guang YANG, Jinfeng WANG, Haijun LIU, Wei WANG. Coarse-to-fine underwater image enhancement based on multi-level wavelet transform[J]. Optics and Precision Engineering, 2022, 30(22): 2939

    Download Citation

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

    Category: Information Sciences

    Received: May. 19, 2022

    Accepted: --

    Published Online: Nov. 28, 2022

    The Author Email: YANG Guang (yangg202205@163.com)

    DOI:10.37188/OPE.20223022.2939

    Topics