Datasets:
Tasks:
Image-to-Image
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Add authors' original readme.txt (re-encoded to UTF-8 from source GBK)
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original_readme.txt
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1) This dataset contains 1,000 clean images. Each clean image was used to generate 14 rainy images with different streak orientations and magnitudes.
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2) 900 images are randomly selected for "training" and the rest images are used for "testing".
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3) We use PhotoShop to generate rainy images: http://www.photoshopessentials.com/photo-effects/rain/
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4) If this dataset helps your research, please cite our two papers that report this dataset:
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[1] X. Fu, J. Huang, D. Zeng, Y. Huang, X. Ding and J. Paisley. “Removing Rain from Single Images via a Deep Detail Network”, CVPR, 2017.
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[2] X. Fu, J. Huang, X. Ding, Y. Liao and J. Paisley. “Clearing the Skies: A deep network architecture for single-image rain removal”, IEEE Transactions on Image Processing, vol. 26, no. 6, pp. 2944-2956, 2017.
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5) Welcome to our homepage: https://xmu-smartdsp.github.io/
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