Underwater image enhancement algorithm based on dark channel prior and underwater imaging model

Zhengping Sun,Fubing Li,Yuying Yang,I Barukčić

doi:10.1051/matecconf/202133606033

Zhengping Sun, Fubing Li + Show 2 more

Open Access

https://doi.org/10.1051/matecconf/202133606033

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Abstract

The main reason for the degradation of the underwater image is the light absorption and scattering. The images are captured in the underwater environment often have some problems such as loss of image information, low contrast, and color distortion. In order to solve the above problems, this paper proposes an image enhancement method for the underwater environment. With the help of the underwater imaging model and dark channel prior theory, a new idea of adding transmission correction and color compensation to G and B color channels is proposed. Experimental results show that, compared with the traditional methods, this method has a better effect on the underwater image with less color deviation.

Highlights

In recent years, the application of underwater environmental monitoring and information collection is more and more extensive, so the collection and research of underwater information with clear underwater images are the most important
Underwater image quality enhancement can be divided into image restoration methods [1,2,3] and image enhancement methods [4,5,6]
The process of image restoration to enhance image quality mainly depends on a specific degradation process and a real imaging model

Summary

Introduction

The application of underwater environmental monitoring and information collection is more and more extensive, so the collection and research of underwater information with clear underwater images are the most important. The particle molecules in the water will cause the scattering of light, and the absorption characteristics of water to light will cause light attenuation, which will cause poor image quality, blue-green fog surface feeling, low contrast, limiting the visibility, and other defects. Underwater image quality enhancement can be divided into image restoration methods [1,2,3] and image enhancement methods [4,5,6]. The process of image restoration to enhance image quality mainly depends on a specific degradation process and a real imaging model. The process of using the image enhancement method to enhance image quality only needs to pay attention to the pixel value of the image and adjust the pixel value to optimize the overall image quality

Imaging model of light in the underwater environment

Dark channel prior algorithm

The improved image enhancement algorithm

Experimental results and analysis

Conclusion