Low-illumination underwater image enhancement based on Retinex and Dark Channel priori

Hao Yang; Lihong Niu; Yulei An; Binghua Su; Jiongjiang Chen; Zhuang Zhou

doi:10.1117/12.2634463

12 May 2022 Low-illumination underwater image enhancement based on Retinex and Dark Channel priori

Hao Yang, Lihong Niu, Yulei An, Binghua Su, Jiongjiang Chen, Zhuang Zhou

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121731M (2022) https://doi.org/10.1117/12.2634463
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

For the problem of low-illumination underwater images caused by the use of filters, we provide an algorithm for image enhancement based on multiscale Retinex and Dark channel priori. First, we use the multi-scale Retinex algorithm for color correction. Second, we use a modified Dark channel priori algorithm for the defogging process. We acquired some underwater images and compared them with classical image processing algorithms, and the results show that our algorithm improves image brightness and contrast.

Citation Download Citation

Hao Yang, Lihong Niu, Yulei An, Binghua Su, Jiongjiang Chen, and Zhuang Zhou "Low-illumination underwater image enhancement based on Retinex and Dark Channel priori", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121731M (12 May 2022); https://doi.org/10.1117/12.2634463

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KEYWORDS

Image enhancement

Image transmission

Image processing

Image filtering

Light scattering

Scattering

Signal attenuation

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