2026-10-14T18:04:40Z https://data.mendeley.com/oai

oai:data.mendeley.com/crrhx3shm2.1 2026-09-01T13:13:30Z

Ferdous, Taufik Synthetic Image Restoration Dataset for Hazy, Low-Light, and Rainy Images Mendeley Data 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. Artificial Intelligence Computer Vision Image Processing Machine Learning Image Restoration Synthetic Image Deep Learning ASIF, MD ASHADUZZAMAN Moon, Nazmun Nessa Nur, Fernaz Dipu, Md. Hasanuzzaman Uddin, Md. Shihab Dataset doi:10.17632/crrhx3shm2.1 oai:data.mendeley.com/crrhx3shm2.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/crrhx3shm2 2026-09-01T13:13:30Z