Data for: Rain noise removal from single image via residual deep convolutional neural network

Published: 11 Jan 2019 | Version 1 | DOI: 10.17632/ts2rb3s456.1
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Description of this data

Rainy images and Matlab scripts are included in this dataset. By running these codes, proposed de-raining method can be generating rain method are implemented.

Experiment data files

Latest version

  • Version 1

    2019-01-11

    Published: 2019-01-11

    DOI: 10.17632/ts2rb3s456.1

    Cite this dataset

    Matsui, Takuro; Fujisawa, Takanori; Ikehara, Masaaki (2019), “Data for: Rain noise removal from single image via residual deep convolutional neural network”, Mendeley Data, v1 http://dx.doi.org/10.17632/ts2rb3s456.1

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Institutions

Keio Gijuku Daigaku

Categories

Engineering, Denoising, Deep Learning

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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