重庆工商大学学报（自然科学版）2024，Vol.41Issue(4)：69-76,8.DOI:10.16055/j.issn.1672-058X.2024.0004.009
基于图像熵线性加权的水下图像增强算法
An Underwater Image Enhancement Algorithm Based on Image Entropy Linear Weighting
摘要
Abstract
Objective Aiming at the problem that the underwater images in the industrial environment are affected by suspended solids in water,resulting in low image clarity and high contrast,an underwater image enhancement algorithm based on linear weighting of image entropy was proposed.Methods The algorithm linearly weighted the white balance algorithm,histogram equalization algorithm,and dark channel prior algorithm based on the image entropy theory,and then determined the adjustment coefficient to output high-quality images through the experimental environment.Through taking images in different underwater environments at depths of 1 m,1.5 m,and 2 m,the obtained underwater images were compared and processed by using the above three algorithms and this algorithm.The processing results were evaluated by PSNR and UIQM as evaluation indicators.Results The experimental results showed that the proposed algorithm,judged by the PSNR index,improved the underwater image quality by 22.81％for the water depth of 1m,46.67％for the water depth of 1.5 m,38.94％for the water depth of 2 m,and improved the combined image quality by 36.14％on average,compared with the other three algorithms.The proposed algorithm,judged by the UIQM index,improved the image quality by 1.02％for the water depth of 1m,0.73％for the water depth of 1.5 m,1.82％for the water depth of 2 m,and improved the combined image quality by 1.19％on average,compared with the other three algorithms.Conclusion It can be proved that the proposed algorithm has significantly improved the image definition compared with other traditional algorithms,and this algorithm can adapt to different depths of underwater environments,providing a new solution for underwater image enhancement in industrial environments.关键词
水下图像增强/线性加权/图像熵/图像融合Key words
underwater image enhancement/linear weighting/image entropy/image fusion分类
信息技术与安全科学引用本文复制引用
王亚强,吴明晖,耿方琪,冯业宁,周围..基于图像熵线性加权的水下图像增强算法[J].重庆工商大学学报（自然科学版）,2024,41(4):69-76,8.基金项目
上海市自然科学基金项目(21ZR1425900). （21ZR1425900）
