Underwater Single Image Color Restoration Dataset

Underwater Single Image Color Restoration Dataset是由特拉维夫大学电气工程学院和海法大学海洋科学学院合作创建的，旨在为水下图像颜色恢复算法提供一个量化的评估平台。该数据集包含在不同地点和不同水体属性下拍摄的图像，图像中包含颜色图表，以便于进行精确的颜色恢复评估。此外，通过立体成像技术计算场景的三维结构，为算法提供了地面实况数据。数据集的应用领域主要集中在海洋研究中，特别是在自动分割、特征匹配和导航辅助等方面，以提高水下图像处理的准确性和效率。

The Underwater Single Image Color Restoration Dataset was co-developed by the School of Electrical Engineering at Tel Aviv University and the School of Marine Sciences at the University of Haifa, aiming to provide a quantitative evaluation platform for underwater image color restoration algorithms. This dataset contains images captured at various locations and under different water body properties, each equipped with a color chart to enable precise color restoration assessment. Additionally, the 3D structure of the scene is calculated via stereo imaging technology, providing ground-truth data for related algorithms. The dataset is primarily applied in marine research, especially in fields such as automatic segmentation, feature matching and navigation assistance, to improve the accuracy and efficiency of underwater image processing.