Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0401003(2023)

Underwater Image Restoration Based on Classification and Dark Channel Prior with Minimum Convolutional Area

Guodong Liu1, Lihui Feng1、*, Jihua Lu2、**, and Jianmin Cui1
Author Affiliations
  • 1School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
  • 2School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
  • show less
    References(29)

    [1] Hambarde P, Murala S, Dhall A. UW-GAN: single-image depth estimation and image enhancement for underwater images[J]. IEEE Transactions on Instrumentation and Measurement, 70, 5018412(2021).

    [2] Tao Y, Dong L L, Xu L Q et al. Effective solution for underwater image enhancement[J]. Optics Express, 29, 32412-32438(2021).

    [3] Yuan J Y, Cao W, Cai Z C et al. An underwater image vision enhancement algorithm based on contour Bougie morphology[J]. IEEE Transactions on Geoscience and Remote Sensing, 59, 8117-8128(2021).

    [4] Jian M Z, Li D, Zhang J Q. Underwater image restoration based on non-uniform incident light imaging model[J]. Acta Optica Sinica, 41, 1501003(2021).

    [5] Qian L J, Jin H H, Fan Z G et al. Underwater image restoration method suppressing interference of light source in field of view[J]. Acta Optica Sinica, 41, 1801001(2021).

    [6] Gui X Y, Zhang R, Cheng H Y et al. Multi-turbidity underwater image restoration based on neural network and polarization imaging[J]. Laser & Optoelectronics Progress, 59, 0410001(2022).

    [7] Wei G, Chen S Y, Liu Y T et al. Survey of underwater image enhancement and restoration algorithms[J]. Application Research of Computers, 38, 2561-2569, 2589(2021).

    [8] Perez J, Attanasio A C, Nechyporenko N et al. A deep learning approach for underwater image enhancement[M]. Vicente J M F, Álvarez-Sánchez J R, de la Paz López F, et al. Biomedical applications based on natural and artificial computing, 10338, 183-192(2017).

    [9] Wang Y, Zhang J, Cao Y et al. A deep CNN method for underwater image enhancement[C], 1382-1386(2017).

    [10] Li J, Skinner K A, Eustice R M et al. WaterGAN: unsupervised generative network to enable real-time color correction of monocular underwater images[J]. IEEE Robotics and Automation Letters, 3, 387-394(2018).

    [11] Zhao X W, Jin T, Qu S. Deriving inherent optical properties from background color and underwater image enhancement[J]. Ocean Engineering, 94, 163-172(2015).

    [12] Wang N, Zheng H Y, Zheng B. Underwater image restoration via maximum attenuation identification[J]. IEEE Access, 5, 18941-18952(2017).

    [13] Peng Y T, Cao K M, Cosman P C. Generalization of the dark channel prior for single image restoration[J]. IEEE Transactions on Image Processing, 27, 2856-2868(2018).

    [14] Drews P, Jr, do Nascimento E, Moraes F et al. Transmission estimation in underwater single images[C], 825-830(2013).

    [15] Carlevaris-Bianco N, Mohan A, Eustice R M. Initial results in underwater single image dehazing[C], 11695644(2010).

    [16] Song W, Wang Y, Huang D M et al. A rapid scene depth estimation model based on underwater light attenuation prior for underwater image restoration[M]. Hong R C, Cheng W H, Yamasaki T, et al. Advances in multimedia information processing-PCM 2018, 11164, 678-688(2018).

    [17] Peng Y T, Cosman P C. Underwater image restoration based on image blurriness and light absorption[J]. IEEE Transactions on Image Processing, 26, 1579-1594(2017).

    [18] Huang W C, Yang Z, Jiao S B et al. Research on color image defogging algorithm based on MSR and CLAHE[C], 7301-7306(2020).

    [19] Li C Y, Guo C L, Ren W Q et al. An underwater image enhancement benchmark dataset and beyond[J]. IEEE Transactions on Image Processing, 29, 4376-4389(2020).

    [20] Yang M, Sowmya A. An underwater color image quality evaluation metric[J]. IEEE Transactions on Image Processing, 24, 6062-6071(2015).

    [21] He K M, Sun J, Tang X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 2341-2353(2011).

    [22] Chiang J Y, Chen Y C. Underwater image enhancement by wavelength compensation and dehazing[J]. IEEE Transactions on Image Processing, 21, 1756-1769(2012).

    [23] Lin J Q, Yu M, Xu H Y et al. Underwater image restoration based on light attenuation prior and background light fusion[J]. Laser & Optoelectronics Progress, 58, 0810013(2021).

    [24] Fu X Y, Zhuang P X, Huang Y et al. A retinex-based enhancing approach for single underwater image[C], 4572-4576(2014).

    [25] Zhang C Z, Kang B L, Li Y et al. Underwater image enhancement based on differential channel gain and improved retinex[J]. Laser & Optoelectronics Progress, 58, 1410004(2021).

    [26] Huang D M, Wang Y, Song W et al. Shallow-water image enhancement using relative global histogram stretching based on adaptive parameter acquisition[M]. Schoeffmann K, Chalidabhongse T H, Ngo C W, et al. MultiMedia modeling, 10704, 453-465(2018).

    [27] Hegde D, Desai C, Tabib R et al. Adaptive cubic spline interpolation in CIELAB color space for underwater image enhancement[J]. Procedia Computer Science, 171, 52-61(2020).

    [28] Guo W, Zhang Y B, Zhou Y et al. Rapid deep-sea image restoration algorithm applied to unmanned underwater vehicles[J]. Acta Optica Sinica, 42, 0410002(2022).

    [29] Setiadi D R I M. PSNR vs SSIM: imperceptibility quality assessment for image steganography[J]. Multimedia Tools and Applications, 80, 8423-8444(2021).

    Tools

    Get Citation

    Copy Citation Text

    Guodong Liu, Lihui Feng, Jihua Lu, Jianmin Cui. Underwater Image Restoration Based on Classification and Dark Channel Prior with Minimum Convolutional Area[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0401003

    Download Citation

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

    Category: Atmospheric Optics and Oceanic Optics

    Received: Jan. 27, 2022

    Accepted: Mar. 30, 2022

    Published Online: Feb. 14, 2023

    The Author Email: Feng Lihui (lihui.feng@bit.edu.cn), Lu Jihua (lujihua@bit.edu.cn)

    DOI:10.3788/LOP220651

    Topics