Underwater single image enhancement based on latent low-rank decomposition and image fusion

Wenfeng Zhao; Shenghui Rong; Tengyue Li; Xueting Cao; Yongbin Liu; Bo He

doi:10.1117/12.2589359

27 January 2021 Underwater single image enhancement based on latent low-rank decomposition and image fusion

Wenfeng Zhao, Shenghui Rong, Tengyue Li, Xueting Cao, Yongbin Liu, Bo He

Proceedings Volume 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020); 1172018 (2021) https://doi.org/10.1117/12.2589359
Event: Twelfth International Conference on Graphics and Image Processing, 2020, Xi'an, China

Abstract

The underwater image quality is usually damaged due to the selective absorption of sea water and the scattering effect of particles, which leads to image distortion and will reduces the accuracy and efficiency of subsequent vision tasks. To solve the above problems, an underwater single image enhancement method based on latent low-rank decomposition and image fusion is proposed. First, a color correction method based on channel compensation is introduced to remove color cast. Second, an improved Laplace sharpening method and a gamma correction technology are applied to effectively improve the sharpness and contrast of the image. Then, the latent low-rank representation is utilized to decompose the obtained image. Finally, a dual-image weighted image fusion strategy is proposed to integrate the enhanced image. The experimental results show that the method can obtain better results than the traditional methods on both qualitative and quantitative analysis.

Citation Download Citation

Wenfeng Zhao, Shenghui Rong, Tengyue Li, Xueting Cao, Yongbin Liu, and Bo He "Underwater single image enhancement based on latent low-rank decomposition and image fusion", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 1172018 (27 January 2021); https://doi.org/10.1117/12.2589359

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