通过双传输优化和基于变压器的功能融合,实现混合水下图像增强
Ning Hu1, Shuai Li2, Jindong Tan1
1Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN 37916, USA.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
这项研究引入了一种混合方法来增强水下图像,解决散射和色彩扭曲等挑战. 该方法在复杂的水生环境中显著提高了图像质量和可见性.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 水下成像技术的研究.
背景情况:
- 在水下环境中,由于散射,吸收和色彩扭曲,图像恢复面临重大挑战.
- 现有的方法往往难以有效地解决这些复杂的退化,限制了准确的水下图像分析.
研究的目的:
- 开发一种强大的混合方法,以显著提高水下图像.
- 为了提高可见性,减少散射效应,并在水下图像中纠正色彩扭曲.
主要方法:
- 一种混合方法,将双传输估计与边界约束和局部对比相结合.
- 适应性环境光估计和颜色校正,用于强大的扭曲去除.
- 使用U-Net变压器 (Uformer) 进行有效的全球和本地特征提取.
主要成果:
- 拟议的方法成功估计了传输地图,解决了可见性恶化问题.
- 通过适应性环境光估计实现了强大的色彩扭曲校正.
- 该Uformer网络有效地增强图像细节和上下文信息.
结论:
- 与最先进的方法相比,这种混合方法在水下图像增强方面表现出卓越的性能.
- 使用UIQM和UCIQE指标的定量评估验证了拟议技术的有效性.
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