Research on underwater image processing method based on feature transformation unit

Jianxin Sun; Rui Liu; Yue Lian; Yichen Wang; Di Wang

doi:10.1117/12.3051059

27 September 2024 Research on underwater image processing method based on feature transformation unit

Jianxin Sun, Rui Liu, Yue Lian, Yichen Wang, Di Wang

Proceedings Volume 13281, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2024); 1328119 (2024) https://doi.org/10.1117/12.3051059
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning, 2024, Zhengzhou, China

Abstract

The images have their own defects such as high noise and poor texture, a multi-input fusion technique has been developed for enhancing underwater images, addressing issues of degradation and significant interference. By analyzing and comparing the performance of white balance, histogram equalization, gamma correction and underwater dark channel prior methods, a new image enhancement algorithm has been developed through the integration of the best features from various algorithms. The proposed algorithm is evaluated against traditional methods for enhancing underwater images, and the image is analyzed by image effect and image quality evaluation index. The outcomes demonstrate that the suggested algorithm significantly enhances the quality of underwater images.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jianxin Sun, Rui Liu, Yue Lian, Yichen Wang, and Di Wang "Research on underwater image processing method based on feature transformation unit", Proc. SPIE 13281, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2024), 1328119 (27 September 2024); https://doi.org/10.1117/12.3051059

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KEYWORDS

Image enhancement

Image quality

Image fusion

Image transmission

Histograms

Image processing

Gamma correction

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