Optics and Precision Engineering, Volume. 30, Issue 12, 1499(2022)

Improved CycleGAN network for underwater microscopic image color correction

Haotian WANG, Qingsheng LIU, Liang CHEN, Wangquan YE*, Yuan LU, Jinjia GUO, and Ronger ZHENG
Author Affiliations
  • College of Physics and Optoelectronic Engineering, Faculty of Information Science and Engineering, Ocean University of China, Qingdao266100, China
  • show less
    References(21)

    [1] NOZAKI T, NAGASE T, USHIKUBO T et al. Microbial sulfate reduction plays an important role at the initial stage of subseafloor sulfide mineralization[J]. Geology, 49, 222-227(2021).

    [2] SINHA R K, KRISHNAN K P, THOMAS F A et al. Polyphasic approach revealed complex bacterial community structure and function in deep sea sediment of ultra-slow spreading Southwest Indian Ridge[J]. Ecological Indicators, 96, 40-51(2019).

    [3] NIKOLAUS R, AMMERMAN J W, MACDONALD I R. Distinct pigmentation and trophic modes in beggiatoa from hydrocarbon seeps in the gulf of Mexico[J]. Aquatic Microbial Ecology, 32, 85-93(2003).

    [4] ZHANG R, GUI X Y, CHENG H Y et al. Underwater image recovery utilizing polarimetric imaging based on neural networks[J]. Applied Optics, 60, 8419(2021).

    [5] WU S C, LUO T, JIANG G Y et al. A two-stage underwater enhancement network based on structure decomposition and characteristics of underwater imaging[J]. IEEE Journal of Oceanic Engineering, 46, 1213-1227(2021).

    [6] HAN R Y, GUAN Y, YU Z B et al. Underwater image enhancement based on a spiral generative adversarial framework[J]. IEEE Access, 8, 218838-218852(2020).

    [7] ZONG X H, CHEN Z H, WANG D D. Local-CycleGAN: a general end-to-end network for visual enhancement in complex deep-water environment[J]. Applied Intelligence, 51, 1947-1958(2021).

    [8] FU X Y, CAO X Y. Underwater image enhancement with global-local networks and compressed-histogram equalization[J]. Signal Processing: Image Communication, 86, 115892(2020).

    [9] SONG W, WANG Y, HUANG D M et al. Enhancement of underwater images with statistical model of background light and optimization of transmission map[J]. IEEE Transactions on Broadcasting, 66, 153-169(2020).

    [10] [10] 10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

    [11] ZHUANG P X, DING X H. Underwater image enhancement using an edge-preserving filtering Retinex algorithm[J]. Multimedia Tools and Applications, 79, 17257-17277(2020).

    [12] ZHU J Y, PARK T, ISOLA P et al. Unpaired image-to-image translation using cycle-consistent adversarial networks[C], 2242-2251(2017).

    [13] [13] 13杜振龙, 沈海洋, 宋国美, 等. 基于改进CycleGAN的图像风格迁移[J]. 光学 精密工程, 2019, 27(8): 1836-1844. doi: 10.3788/ope.20192708.1836DUZ L, SHENH Y, SONGG M, et al. Image style transfer based on improved CycleGAN[J]. Opt. Precision Eng., 2019, 27(8): 1836-1844.(in Chinese). doi: 10.3788/ope.20192708.1836

    [14] LU J Y, LI N, ZHANG S Y et al. Multi-scale adversarial network for underwater image restoration[J]. Optics & Laser Technology, 110, 105-113(2019).

    [15] LIU F, HAN P L, WEI Y et al. Deeply seeing through highly turbid water by active polarization imaging[J]. Optics Letters, 43, 4903-4906(2018).

    [16] AMER K O, ELBOUZ M, ALFALOU A. Phase Contrast Enhancement Combined with Dark Channel Prior for Underwater Target Recognition[J]. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 74-81(2018).

    [17] [17] 17聂瑛, 何志毅. 不同波长光源照明的水下成像及光学图像实时处理[J]. 光学学报, 2014, 34(7): 0710002. doi: 10.3788/aos201434.0710002NIEY, HEZ Y. Underwater imaging and real-time optical image processing under illumination by light sources with different wavelengths[J]. Acta Optica Sinica, 2014, 34(7): 0710002.(in Chinese). doi: 10.3788/aos201434.0710002

    [18] [18] 18王卫星, 赵恒. 结合改进Retinex及自适应分数阶微分的雾霾公路交通图像增强[J]. 光学 精密工程, 2020, 28(8): 1820-1834. doi: 10.3788/OPE.20202808.1820WANGW X, ZHAOH. Haze traffic image enhancement based on improved retinex and adaptive fractional differential[J]. Opt. Precision Eng., 2020, 28(8): 1820-1834.(in Chinese). doi: 10.3788/OPE.20202808.1820

    [19] [19] 19王冬云, 唐楚, 鄂世举, 等. 基于导向滤波Retinex和自适应Canny的图像边缘检测[J]. 光学 精密工程, 2021, 29(2): 443-451. doi: 10.37188/OPE.20212902.0443WANGD Y, TANGC, ES J, et al. Image edge detection based on guided filter Retinex and adaptive Canny[J]. Opt. Precision Eng., 2021, 29(2): 443-451.(in Chinese). doi: 10.37188/OPE.20212902.0443

    [20] HORÉ A, ZIOU D. Image quality metrics: PSNR vs. SSIM[C], 2366-2369(2010).

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

    CLP Journals

    [1] Lei SUN, Qian TANG, Yipeng LIAO, Yuhua LIAO, Zexi DONG, Jianjun HE. Multi-scale enhancement and color depth codec correction of flotation foam low illumination images[J]. Optics and Precision Engineering, 2025, 33(10): 1609

    [2] Lei SUN, Qian TANG, Yipeng LIAO, Yuhua LIAO, Zexi DONG, Jianjun HE. Multi-scale enhancement and color depth codec correction of flotation foam low illumination images[J]. Optics and Precision Engineering, 2025, 33(10): 1609

    Tools

    Get Citation

    Copy Citation Text

    Haotian WANG, Qingsheng LIU, Liang CHEN, Wangquan YE, Yuan LU, Jinjia GUO, Ronger ZHENG. Improved CycleGAN network for underwater microscopic image color correction[J]. Optics and Precision Engineering, 2022, 30(12): 1499

    Download Citation

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

    Category: Information Sciences

    Received: Mar. 1, 2022

    Accepted: --

    Published Online: Jul. 5, 2022

    The Author Email: Wangquan YE (yewangquan@ouc.edu.cn)

    DOI:10.37188/OPE.20223012.1499

    Topics