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De-hazing and enhancement method for underwater and low-light images

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Abstract

Because underwater and low-light images have different characteristics, there are few methods to jointly improve the visibility of these images. This paper proposes a de-hazing and enhancement method for underwater and low-light images to describe the two types of images uniformly. Multi-scale retinex color recovery (MSRCR) and guided filtering methods are used for de-hazing; the proposed method of white balance fusion global guided image filtering (G-GIF), effectively solve the problems of dim light, color distortion, and loss of edge details. Experiments show that compared with other methods, this method can effectively solve the image exposure, and at the same time, it can better protect and enhance the image’s color saturation and edge texture details, thus achieving a very good visual effect.

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Acknowledgments

Thanks to my teachers and classmates for their help in the paper writing; it was with their encouragement and guidance that I finally finished this paper. All the authors who participated in the writing of the manuscript and the review committee of our institution (Shandong University of Science and Technology) expressed their oral consent to the submission of the manuscript.

Funding

The authors acknowledge this paper was supported by the National Key Research and Development Program of China under Grant 2017YFC0804406.

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Authors and Affiliations

  1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, China

    Ke Liu & Xujian Li

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  1. Ke Liu
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  2. Xujian Li
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Correspondence to Ke Liu.

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Liu, K., Li, X. De-hazing and enhancement method for underwater and low-light images. Multimed Tools Appl 80, 19421–19439 (2021). https://doi.org/10.1007/s11042-021-10740-3

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