4.5 Article

Underwater image enhancement method with light scattering characteristics

Journal

COMPUTERS & ELECTRICAL ENGINEERING
Volume 100, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compeleceng.2022.107898

Keywords

Underwater image enhancement; Light scattering; Color restoration; Detail loss

Funding

  1. National Natural Science Foundation of China [61702074]
  2. Liaoning Provincial Natural Science Foundation of China [20170520196]
  3. Fundamental Research Funds for the Central Universities [3132019205, 3132019354]

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This study developed a method based on light scattering characteristics to enhance the quality of underwater images. By correcting color cast and enhancing contrast, the method effectively improves the image quality of underwater images with color distortion, low contrast, and detail loss.
Light is absorbed and scattered when propagating in water, which results in low quality and poor visibility of underwater optical images. Furthermore, the absorption of light by water causes color distortion, whereas the scattering of light by small particles suspended in water results in low image contrast. To enhance the underwater image quality, we developed a method based on light scattering characteristics. Firstly, we group the color cast into five categories according to the proportion of the average of the RGB channels. Then, we use the optical attenuation character-istics to calculate the color loss rate of the RGB channels of underwater images in different scenes and develop a multi-scene color restoration method to correct the color cast of underwater im-ages. While keeping the color constant, we set a 64-block multi-contrast factor histogram stretching to enhance the contrast of the underwater image. The experimental results verify that the developed method has achieved image quality improvement via qualitative and quantitative evaluation. Our approach is proved to effectively improve the quality of underwater images with color distortion, low contrast, and detail loss.

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