Blurred Chest X-ray Images: A Simulated Dataset for Image Deblurring and Restoration Benchmarking
Published: 23 June 2026| Version 3 | DOI: 10.17632/pjxpzkhbf7.3
Contributor:
Karthik M SDescription
This dataset contains simulated blurred versions of chest X-ray images, organized into train and test splits, for use in image deblurring and restoration research. Synthetic blur degradation was applied to original chest X-ray images to create paired (sharp/blurred) data suitable for training and evaluating deep learning-based restoration and deblurring models. The original (non-blurred) chest X-ray images were obtained from the "COVID19, Pneumonia and Normal Chest X-ray PA Dataset" by Amanullah Asraf and Zabirul Islam, published on Mendeley Data (DOI: 10.17632/jctsfj2sfn.1), licensed under CC BY 4.0. We gratefully acknowledge the original contributors for making this resource publicly available.
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Institutions
- Amrita Vishwa VidyapeethamTamil Nadu, Coimbatore
Categories
Image Processing, Deep Learning