Optics and Precision Engineering, Volume. 32, Issue 7, 1059(2024)
Underwater image restoration method combining color compensation and dual background light fusion
[1] DENG X Y, WANG H G, LIU X. Underwater image enhancement based on removing light source color and dehazing[J]. IEEE Access, 7, 114297-114309(2019).
[2] PUROHIT K, MANDAL S, RAJAGOPALAN A N. Multilevel weighted enhancement for underwater image dehazing[J]. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 36, 1098-1108(2019).
[3] DENG X Y, ZHANG Y Q, WANG H G et al. Robust underwater image enhancement method based on natural light and reflectivity[J]. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 38, 181-191(2021).
[4] [4] 王柯俨, 黄诗芮, 李云松. 水下光学图像重建方法研究进展[J]. 中国图象图形学报, 2022, 27(5): 1337-1358. doi: 10.11834/jig.210819WANGK Y, HUANGS R, LIY S. An optical reconstruction based underwater image analysis[J]. Journal of Image and Graphics, 2022, 27(5): 1337-1358.(in Chinese). doi: 10.11834/jig.210819
[5] [5] 简梦真, 李旦, 张建秋. 基于非均匀入射光成像模型的水下图像复原[J]. 光学学报, 2021, 41(15): 1501003. doi: 10.3788/aos202141.1501003JIANM Z, LID, ZHANGJ Q. Underwater image restoration based on non-uniform incident light imaging model[J]. Acta Optica Sinica, 2021, 41(15): 1501003.(in Chinese). doi: 10.3788/aos202141.1501003
[6] [6] 陈哲, 周旭, 沈洁, 等. 基于梯度先验的水下图像恢复[J]. 仪器仪表学报, 2022, 43(8): 39-46.CHENZH, ZHOUX, SHENJ, et al. Underwater image restoration based on gradient prior[J]. Chinese Journal of Scientific Instrument, 2022, 43(8): 39-46.(in Chinese)
[7] PAUL A. Adaptive tri-plateau limit tri-histogram equalization algorithm for digital image enhancement[J]. The Visual Computer, 39, 297-318(2023).
[8] [8] 王满利, 陈冰冰, 张长森. 基于扩展大气散射模型的低光照图像增强算法[J]. 光子学报, 2023, 52(6): 0610002.WANGM L, CHENB B, ZHANGCH S. Low-light image enhancement via extend atmospheric scattering model[J]. Acta Photonica Sinica, 2023, 52(6): 0610002.(in Chinese)
[9] [9] 袁国铭, 杨光, 王金峰, 等. 由粗到细的多级小波变换水下图像增强[J]. 光学 精密工程, 2022, 30(22): 2939-2951. doi: 10.37188/ope.20223022.2939YUANG M, YANGG, WANGJ F, et al. Coarse-to-fine underwater image enhancement based on multi-level wavelet transform[J]. Opt. Precision Eng., 2022, 30(22): 2939-2951.(in Chinese). doi: 10.37188/ope.20223022.2939
[10] [10] 彭大鑫, 甄彤, 李智慧. 低光照图像增强研究方法综述[J]. 计算机工程与应用, 2023, 59(18): 14-27. doi: 10.3778/j.issn.1002-8331.2210-0143PENGD X, ZHENT, LIZ H. Survey of research methods for low light image enhancement[J]. Computer Engineering and Applications, 2023, 59(18): 14-27.(in Chinese). doi: 10.3778/j.issn.1002-8331.2210-0143
[11] ANCUTI C O, ANCUTI C, DE VLEESCHOUWER C et al. Color balance and fusion for underwater image enhancement[J]. IEEE Transactions on Image Processing, 27, 379-393(2018).
[12] ZHANG W D, ZHUANG P X, SUN H H et al. Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement[J]. IEEE Transactions on Image Processing(2022).
[13] [13] 黄浩乾, 马惊天, 武鹏, 等. 基于非线性信道先验的水下盲图像复原方法[J]. 中国惯性技术学报, 2023, 31(7): 665-673.HUANGH Q, MAJ T, WUP, et al. Underwater blind image restoration method based on the nonlinear channel prior[J]. Journal of Chinese Inertial Technology, 2023, 31(7): 665-673.(in Chinese)
[14] DREWS P L J, NASCIMENTO E R, BOTELHO S S C et al. Underwater depth estimation and image restoration based on single images[J]. IEEE Computer Graphics and Applications, 36, 24-35(2016).
[15] 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).
[16] 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).
[17] [17] 王国霖, 田建东, 李鹏越. 基于双透射率水下成像模型的图像颜色校正[J]. 光学学报, 2019, 39(9): 0901002. doi: 10.3788/aos201939.0901002WANGG L, TIANJ D, LIP Y. Image color correction based on double transmission underwater imaging model[J]. Acta Optica Sinica, 2019, 39(9): 0901002.(in Chinese). doi: 10.3788/aos201939.0901002
[18] ISLAM M J, XIA Y Y, SATTAR J. Fast underwater image enhancement for improved visual perception[J]. IEEE Robotics and Automation Letters, 5, 3227-3234(2020).
[19] NAIK A, SWARNAKAR A, MITTAL K. Shallow-UWnet: compressed model for underwater image enhancement (student abstract)[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 35, 15853-15854(2021).
[20] CHEN Y W, PEI S C. Domain adaptation for underwater image enhancement via content and style separation[J]. IEEE Access, 10, 90523-90534(2022).
[21] [21] 张楠楠, 李志伟, 郭新军, 等. 使用改进型大气散射模型的双阶段图像修复[J]. 光学 精密工程, 2022, 30(18): 2267-2279. doi: 10.37188/OPE.20223018.2267ZHANGN N, LIZH W, GUOX J, et al. Two-stage image restoration using improved atmospheric scattering model[J]. Opt. Precision Eng., 2022, 30(18): 2267-2279.(in Chinese). doi: 10.37188/OPE.20223018.2267
[22] FU H Y, ZHENG W K, MENG X Y et al. You do not need additional priors or regularizers in Retinex-based low-light image enhancement[C], 18125-18134(2023).
[23] [23] 黄浩, 廖宁放, 赵长明, 等. 光谱成像的图像颜色恒常性计算方法[J]. 光谱学与光谱分析, 2023, 43(4): 1004-1011.HUANGH, LIAON F, ZHAOCH M, et al. Computational color constancy calculation method for spectral imaging[J]. Spectroscopy and Spectral Analysis, 2023, 43(4): 1004-1011.(in Chinese)
[24] MCGLAMERY B L. A computer model for underwater camera systems[C], 0208, 221-231(1980).
[25] [25] 王一斌, 尹诗白, 吕卓纹. 自适应背景光估计与非局部先验的水下图像复原[J]. 光学 精密工程, 2019, 27(2): 499-510. doi: 10.3788/ope.20192702.0499WANGY B, YINSH B, LÜZH W. Underwater image restoration with adaptive background light estimation and non-local prior[J]. Opt. Precision Eng., 2019, 27(2): 499-510.(in Chinese). doi: 10.3788/ope.20192702.0499
[26] [26] 林继强, 郁梅, 徐海勇, 等. 基于光衰减先验和背景光融合的水下图像复原[J]. 激光与光电子学进展, 2021, 58(8): 0810013. doi: 10.3788/lop202158.0810013LINJ Q, YUM, XUH Y, et al. Underwater image restoration based on light attenuation prior and background light fusion[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810013.(in Chinese). doi: 10.3788/lop202158.0810013
[27] LIU R S, FAN X, ZHU M et al. Real-world underwater enhancement: challenges, benchmarks, and solutions under natural light[J]. IEEE Transactions on Circuits and Systems for Video Technology, 30, 4861-4875(2020).
[28] 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(2019).
[29] LIN S, ZHANG R H, NING Z M et al. TCRN: A two-step underwater image enhancement network based on triple-color space feature reconstruction[J]. Journal of Marine Science and Engineering, 11, 1221(2023).
[30] [30] 王昊天, 刘庆省, 陈亮, 等. 改进的CycleGAN网络用于水下显微图像颜色校正[J]. 光学 精密工程, 2022, 30(12): 1499-1508. doi: 10.37188/OPE.20223012.1499WANGH T, LIUQ SH, CHENL, et al. Improved CycleGAN network for underwater microscopic image color correction[J]. Opt. Precision Eng., 2022, 30(12): 1499-1508.(in Chinese). doi: 10.37188/OPE.20223012.1499
[31] YANG N, ZHONG Q, LI K et al. A reference-free underwater image quality assessment metric in frequency domain[J]. Signal Processing Image Communication, 94, 116218(2021).
[32] [32] 胡振宇, 陈琦, 朱大奇. 基于颜色平衡和多尺度融合的水下图像增强[J]. 光学 精密工程, 2022, 30(17): 2133-2146. doi: 10.37188/OPE.20223017.2133HUZH Y, CHENQ, ZHUD Q. Underwater image enhancement based on color balance and multi-scale fusion[J]. Opt. Precision Eng., 2022, 30(17): 2133-2146.(in Chinese). doi: 10.37188/OPE.20223017.2133
[33] [33] 罗国强. Gamma变换与多尺度细节增强的红外图像增强[J]. 激光与红外, 2023, 53(2): 253-260. doi: 10.3969/j.issn.1001-5078.2023.02.013LUOG Q. Infrared image enhancement based on Gamma transformation and multi-scale detail enhancement[J]. Laser & Infrared, 2023, 53(2): 253-260.(in Chinese). doi: 10.3969/j.issn.1001-5078.2023.02.013
[34] WANG Y, LI N, LI Z Y et al. An imaging-inspired no-reference underwater color image quality assessment metric[J]. Computers & Electrical Engineering, 70, 904-913(2018).
[35] [35] 杨紫骞, 王艳秋, 郑福, 等. 多维点云结构相似性定量化评价[J]. 光学 精密工程, 2023, 31(4): 533-542. doi: 10.37188/OPE.20233104.0533YANGZ Q, WANGY Q, ZHENGF, et al. Quantitative evaluation method for structural similarity of multidimensional point cloud[J]. Opt. Precision Eng., 2023, 31(4): 533-542.(in Chinese). doi: 10.37188/OPE.20233104.0533
[36] ZHAO B, LIU Z Y, DING S X et al. Motion artifact correction for MR images based on convolutional neural network[J]. Optoelectronics Letters, 18, 54-58(2022).
[37] [37] 杨红英, 惠志奎, 杨志晖, 等. 基于汉风色典的不同色差公式的色差均匀性[J]. 纺织学报, 2020, 41(2): 103-108.YANGH Y, HUIZH K, YANGZH H, et al. Uniformity of main color-difference formulas based on Sino Color Book[J]. Journal of Textile Research, 2020, 41(2): 103-108.(in Chinese)
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Sen LIN, Ziyue ZHA. Underwater image restoration method combining color compensation and dual background light fusion[J]. Optics and Precision Engineering, 2024, 32(7): 1059
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Received: Aug. 31, 2023
Accepted: --
Published Online: May. 28, 2024
The Author Email: Ziyue ZHA (2238467682@qq.com)