Underwater image color correction and adaptive contrast algorithm improvement based on fusion algorithm

Hengjun Zhu; Tianluo Wang; Lihao Ma

doi:10.1117/12.3000979

9 August 2023 Underwater image color correction and adaptive contrast algorithm improvement based on fusion algorithm

Hengjun Zhu, Tianluo Wang, Lihao Ma

Proceedings Volume 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023); 127820O (2023) https://doi.org/10.1117/12.3000979
Event: Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Due to the characteristics of water and the particles in water, the underwater images will have problems of color deviation, low contrast and uneven brightness. Therefore, a statistical approach based on variance is proposed in this paper to correct color-biased images and then equalize the image brightness using the Gamma algorithm. Secondly, a local adaptive contrast enhancement algorithm improved by contrast code images and a restricted contrast adaptive histogram equalization algorithm are used to improve the contrast of underwater images. Finally, two different contrast enhanced images after color correction are fused by a multi-scale fusion algorithm to obtain high-quality underwater images. The results of the comparison experiments with some existing underwater image enhancement algorithms show that our algorithm can effectively improve the quality of underwater images.

Citation Download Citation

Hengjun Zhu, Tianluo Wang, and Lihao Ma "Underwater image color correction and adaptive contrast algorithm improvement based on fusion algorithm", Proc. SPIE 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 127820O (9 August 2023); https://doi.org/10.1117/12.3000979

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KEYWORDS

Image fusion

Image enhancement

Image processing

Detection and tracking algorithms

Image compression

Image restoration

Image quality

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