基于衰减分析的DCT水下图像增强
Leyuan Wang1, Miao Yang1, Can Pan1
1School of Electronic Engineering, Jiangsu Ocean University, Lianyungang 222000, China.
Sensors (Basel, Switzerland)
|December 11, 2025
概括
这项研究引入了一种新的水下图像增强方法. 该技术有效地纠正色彩扭曲,提高水下视觉的清晰度,而不需要原始的参考图像.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 光学工程是指光学工程.
背景情况:
- 水下图像由于光吸收和散射而遭受色彩扭曲,对比度低,模糊.
- 这些退化严重阻碍了水下计算机视觉任务的执行.
- 现有的增强方法通常需要原始的水下图像或与复杂的退化作斗争.
研究的目的:
- 提出一种有效的水下图像增强方法.
- 解决色彩扭曲,对比度降低和水下图像中细节模糊的问题.
- 为了提高水下图像的清晰度和视觉质量,用于各种应用.
主要方法:
- 集成了多通道衰减分析和离散等号变换 (DCT).
- 采用从现场图像到参考数据集的统计色彩映射,避免原始图像要求.
- 结合中位过和Sigmoid功能进行非线性灰度调整和对比平衡.
- 使用Gabor过用于突出映射和阻断DCT进行频率分析,以适应地增强高频细节.
主要成果:
- 提出的方法成功地纠正了色彩扭曲,并提高了水下图像的对比度.
- 观察到图像清晰度和细节恢复的显著改善.
- 对UIEB,EUVP和LSUI数据集的实验结果表明,与现有方法相比,其性能优越.
- 定性和定量分析证实了算法的有效性.
结论:
- 开发的水下图像增强算法有效地解决了常见的图像退化问题.
- 该方法为改善水下图像的视觉质量提供了强大的解决方案.
- 这种方法为科学和工业应用增强水下视觉数据提供了有价值的工具.
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