Synthetic Image Restoration Dataset for Hazy, Low-Light, and Rainy Images

This dataset contains 2,154 original Ground Truth images and corresponding synthetically degraded images generated for three common image degradation conditions: Low-light, Hazy, and Rainy. For each of the 2,154 Ground Truth images, three corresponding degraded versions are provided: 2,154 Low-light images, 2,154 Hazy images, 2,154 Rainy images. Thus, the dataset contains 8,616 images in total, consisting of 2,154 clean Ground Truth images and 6,462 synthetically degraded images. Each degraded image is paired with its corresponding Ground Truth image from the same original scene, making the dataset suitable for supervised image restoration and enhancement research. The dataset can be used to develop and evaluate unified restoration models for multiple degradation types, including low-light enhancement, image dehazing, and image deraining. The dataset was prepared to support research in deep learning, computer vision, and image restoration, and can be used for model training, validation, testing, comparative evaluation, and further research on multi-degradation image restoration.本数据集包含2154张原始真值（Ground Truth）图像，以及针对三种常见图像退化场景——低光照、有雾、降雨——生成的对应合成退化图像。 针对这2154张真值图像，分别提供三种对应的退化版本：2154张低光照图像、2154张有雾图像、2154张降雨图像。 因此本数据集总计包含8616张图像，其中包括2154张干净的真值图像与6462张合成退化图像。 每张退化图像均与来自同一原始场景的对应真值图像配对，因此本数据集适用于监督式图像复原与增强研究。该数据集可用于开发和评估针对多种退化类型的统一复原模型，涵盖低光照增强、图像去雾以及图像去雨任务。 本数据集旨在支撑深度学习、计算机视觉以及图像复原领域的研究，可用于模型训练、验证、测试、对比评估，以及多退化图像复原方向的进一步研究。