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基于蓝绿通道自适应色彩补偿的水下图像增强

周景春 卫晓靖 史金余

周景春, 卫晓靖, 史金余. 基于蓝绿通道自适应色彩补偿的水下图像增强[J]. 电子与信息学报, 2022, 44(8): 2932-2939. doi: 10.11999/JEIT211444
引用本文: 周景春, 卫晓靖, 史金余. 基于蓝绿通道自适应色彩补偿的水下图像增强[J]. 电子与信息学报, 2022, 44(8): 2932-2939. doi: 10.11999/JEIT211444
ZHOU Jingchun, WEI Xiaojing, SHI Jinyu. Underwater Image Enhancement Algorithm Based on Blue-green Channel Color Compensation[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2932-2939. doi: 10.11999/JEIT211444
Citation: ZHOU Jingchun, WEI Xiaojing, SHI Jinyu. Underwater Image Enhancement Algorithm Based on Blue-green Channel Color Compensation[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2932-2939. doi: 10.11999/JEIT211444

基于蓝绿通道自适应色彩补偿的水下图像增强

doi: 10.11999/JEIT211444
基金项目: 中央高校基本科研业务费(3132019354)
详细信息
    作者简介:

    周景春:男,1988年生,博士后,研究方向为计算机视觉、水下图像清晰化

    卫晓靖:女,1997年生,硕士生,研究方向为计算机视觉、水下图像复原

    史金余:男,1967年生,副教授,研究方向为计算机视觉、大数据处理

    通讯作者:

    史金余 sjy1967@dlmu.edu.cn

  • 中图分类号: TN911.73

Underwater Image Enhancement Algorithm Based on Blue-green Channel Color Compensation

Funds: The Foundational Research Foundation for the Central University (3132019354)
  • 摘要: 光在水中传播时受到水的吸收和悬浮粒子散射作用,导致水下图像颜色失真、对比度低、可视性差。针对上述退化问题,该文提出一种基于蓝绿通道自适应色彩补偿水下图像增强方法。首先,该方法分析水下成像模型的特点,根据蓝、绿色通道均值在3通道均值和的占比,将水下场景深度划分3个等级,利用光衰减率特性自适应补偿色彩,实现多场景色彩校正。然后对色彩补偿后的图像划分暗调、中间暗调、中间亮调、亮调4个区域,利用暗区域映射函数将图像暗区域映射到亮区域,在提升对比度的同时抑制噪声的产生。最后采用双线性插值解决分块处理产生的区域块效应。真实水下数据集实验结果表明,与现有方法相比,该方法可以提升多种场景的水下图像质量。
  • 图  1  水下成像模型

    图  2  不同等级水下场景

    图  3  算法流程图

    图  4  不同方法色彩校正对比结果

    图  5  不同方法在UIEBD数据集真实水下图像上的处理效果

    图  6  图5中部分场景细节放大图

    图  7  不同方法在UIEBD数据集真实水下图像上的处理结果

    图  8  水下图像分割结果

    表  1  水下场景深度等级划分

    蓝绿通道均值占比$ \forall ({W_{\text{G}}}{W_{\text{B}}}) \in [0,4.33) $$ \exists ({W_{\text{G}}}{W_{\text{B}}}) \in [4.33,5.33) $$ \exists ({W_{\text{G}}}{W_{\text{B}}}) \in [5.33,1] $
    场景深度1级2级3级
    下载: 导出CSV

    表  2  100张水下图像不同方法处理结果的客观指标平均值(红色粗体:第1指标值;蓝色粗体:第2指标值)

     UDCPRBETSPIBLAGDCPRGHSGBDRCBRUIE本文方法
    AG5.6946.8488.3407.1408.4006.4424.9579.7609.285
    EI55.25870.08880.50669.06681.17662.47548.02692.67889.624
    PCQI0.7880.9571.1291.0651.0361.0130.8361.0901.178
    UCIQE0.5990.6160.6240.6330.6310.6350.6040.6030.639
    UIQM1.7321.4121.5071.4721.5171.5021.5251.5281.586
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-12-06
  • 修回日期:  2022-03-01
  • 网络出版日期:  2022-04-11
  • 刊出日期:  2022-08-17

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