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Volume 29 Issue 2
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2021  >  29(2): 210-217
WANG Dan, ZHANG Zi-yu, ZHAO Jin-bao, YANG Xie-liu, FAN Hui-jie, TANG Yan-dong. Underwater Image Enhancement Algorithm Based on Constant Scattering Assumption and Homomorphic Filtering[J]. Journal of Unmanned Undersea Systems, 2021, 29(2): 210-217. doi: 10.11993/j.issn.2096-3920.2021.02.012
Citation: WANG Dan, ZHANG Zi-yu, ZHAO Jin-bao, YANG Xie-liu, FAN Hui-jie, TANG Yan-dong. Underwater Image Enhancement Algorithm Based on Constant Scattering Assumption and Homomorphic Filtering[J]. Journal of Unmanned Undersea Systems, 2021, 29(2): 210-217. doi: 10.11993/j.issn.2096-3920.2021.02.012
shu

Underwater Image Enhancement Algorithm Based on Constant Scattering Assumption and Homomorphic Filtering

doi: 10.11993/j.issn.2096-3920.2021.02.012
  • 1.

    School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China

  • 2.

    State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

  • Received Date: 2020-07-01
  • Rev Recd Date: 2020-08-04
  • Publish Date: 2021-04-30
    Abstract
  • Aiming at the problem of low contrast and color deviation in underwater image visual enhancement technology, an image enhancement algorithm based on constant scattering assumption and homomorphic filtering is proposed. Firstly, assuming the backscattering of the whole image is constant, the minimum pixel value of red, green and blue (RGB) three channels is searched in the foreground area of the image, and the difference between each channel and its corresponding minimum pixel value is determined to avoid backscattering. Subsequently, the image is transformed into a gray image and homomorphic filtering is performed to suppress the low-frequency information and enhance the high-frequency component of the image. Finally, color correction method is used to eliminated the interference of outliers to the image. Experimental results show that the proposed method can effectively improve the contrast and brightness of the image, and enhance the overall visual effect of the image.

     

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