Multi-scale gradient domain underwater image enhancement

被引:0
|
作者
Mi, Zetian [1 ]
Liang, Zheng [1 ]
Wang, Yafei [1 ]
Fu, Xianping [1 ]
Chen, Zhengyu [1 ]
机构
[1] Dalian Maritime Univ, Informat Sci & Technol Coll, Dalian 116026, Peoples R China
基金
中国国家自然科学基金;
关键词
Underwater image; Edge-preserving image decomposition; Gradient Domain; Color correction; Contrast enhancement;
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Underwater images often suffer from low visibility, due to the attenuation and scattering of the propagated light, which are caused by the dense and non-uniform medium. Based on the observation that degradation of underwater images occurs both in contrast and color, this paper aims at compensating the contrast and color saturation of the image respectively. To achieve this, we first white balance the degraded image to remove the color casts while producing a natural appearance of the underwater image. Then propose a multi-scale gradient domain contrast enhancement strategy to increase the visibility, and compensate the attenuation of color saturation according to the estimated transmission. Both qualitative and quantitative results demonstrate the effectiveness of the proposed method. Our method yields accurate results with significantly enhanced contrast and superior color, even better than other state-of-the-art methods.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] Multi-scale underwater image enhancement with optimized homomorphic filter and RGB color correction
    Peng Yang
    Heng Wu
    Tao Wang
    Lianglun Cheng
    Genping Zhao
    Optical Review, 2022, 29 : 457 - 468
  • [32] Underwater image restoration with multi-scale shallow feature extraction and detail enhancement network
    Wu, Heng
    Deng, Lei
    Chen, Meiyun
    Luo, Shaojuan
    Zhang, Fanlong
    He, Chunhua
    Zhang, Xianmin
    JOURNAL OF MODERN OPTICS, 2023, 70 (13-15) : 886 - 900
  • [33] MUFFNet: lightweight dynamic underwater image enhancement network based on multi-scale frequency
    Kong, Dechuan
    Zhang, Yandi
    Zhao, Xiaohu
    Wang, Yanqiang
    Cai, Lei
    FRONTIERS IN MARINE SCIENCE, 2025, 12
  • [34] Multi-scale fusion framework via retinex and transmittance optimization for underwater image enhancement
    Li, Tie
    Zhou, Tianfei
    PLOS ONE, 2022, 17 (09):
  • [35] Multi-scale underwater image enhancement with optimized homomorphic filter and RGB color correction
    Yang, Peng
    Wu, Heng
    Wang, Tao
    Cheng, Lianglun
    Zhao, Genping
    OPTICAL REVIEW, 2022, 29 (06) : 457 - 468
  • [36] Adaptive Deep Learning Network With Multi-Scale and Multi-Dimensional Features for Underwater Image Enhancement
    Qiao, Nianzu
    Dong, Lu
    Sun, Changyin
    IEEE TRANSACTIONS ON BROADCASTING, 2023, 69 (02) : 482 - 494
  • [37] Autonomous underwater robot for underwater image enhancement via multi-scale deformable convolution network with attention mechanism
    Lin, Yi
    Zhou, Jingchun
    Ren, Wenqi
    Zhang, Weishi
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 191
  • [38] Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement
    Shang, Kai
    Shao, Mingwen
    Wang, Chao
    Cheng, Yuanshuo
    Wang, Shuigen
    THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 5, 2024, : 4722 - 4730
  • [39] Multi-scale convolution underwater image restoration network
    Zhijie Tang
    Jianda Li
    Jingke Huang
    Zhanhua Wang
    Zhihang Luo
    Machine Vision and Applications, 2022, 33
  • [40] A multi-scale retinex algorithm for image enhancement
    Liu, YH
    Su, YQ
    Zhu, YF
    Yuan, ZJ
    2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings, 2005, : 131 - 133