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Underwater image enhancement based on color-line model and homomorphic filtering
Signal, Image and Video Processing ( IF 2.0 ) Pub Date : 2021-06-21 , DOI: 10.1007/s11760-021-01960-z
Haifeng Yu , Xinbin Li , Qian Lou , Lei Yan

The underwater images suffer from low contrast, low visibility and color deviation which caused by scattering and absorption. In this paper, the method based on color-line model and homomorphic filtering is proposed to enhance the underwater image. First of all, the homomorphic filtering is used to remove the color deviation in the underwater image and the obtained image will be used for subsequent processes. Then, the transmission of the underwater image is estimated through the solution of the offsets that the color lines along the background-light vector from the origin. We develop a non-convex optimization function to obtain the transmission of the underwater image. Finally, the color correction is added in the underwater image which obtained by the color-line method. The simulation experiments results show that the proposed method is superior to the current state-of-the-art methods in the four aspects of quantitative analysis, qualitative analysis, color accuracy analysis, and restoring synthesized underwater images.



中文翻译:

基于彩色线模型和同态滤波的水下图像增强

水下图像由于散射和吸收而导致对比度低、能见度低和颜色偏差。本文提出了一种基于彩色线模型和同态滤波的水下图像增强方法。首先,使用同态滤波去除水下图像中的颜色偏差,得到的图像将用于后续处理。然后,通过颜色线沿背景光矢量从原点的偏移量的解来估计水下图像的传输。我们开发了一个非凸优化函数来获得水下图像的传输。最后,对彩色线法得到的水下图像进行色彩校正。

更新日期:2021-06-21
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