High-resolution image de-raining using conditional GAN with sub-pixel upscaling-Reference-Cited by-同舟云学术

High-resolution image de-raining using conditional GAN with sub-pixel upscaling

Published:2020-09-06 Issue:1 Volume:80 Page:1075-1094
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Sharma Prasen Kumar^ORCID,Basavaraju Sathisha,Sur Arijit

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-020-09642-7.pdf

Reference55 articles.

1. Abadi M, Agarwal A (2015) TensorFlow: Large-scale machine learning on heterogeneous systems. http://tensorflow.org/. Software available from tensorflow.org

2. Chang Y, Yan L, Zhong S (2017) Transformed low-rank model for line pattern noise removal. In: 2017 IEEE International conference on computer vision (ICCV), pp 1735–1743. https://doi.org/10.1109/ICCV.2017.191

3. Chen DY, Chen CC, Kang LW (2014) Visual depth guided color image rain streaks removal using sparse coding. IEEE Trans Circ Syst Vid Technol 24(8):1430–1455. https://doi.org/10.1109/TCSVT.2014.2308627

4. Chen Q, Yi X, Ni B, Shen Z, Yang X (2017) Rain removal via residual generation cascading. In: 2017 IEEE Visual communications and image processing (VCIP), pp 1–4. https://doi.org/10.1109/VCIP.2017.8305092

5. Fu X, Huang J, Ding X, Liao Y, Paisley J (2017) Clearing the skies: a deep network architecture for single-image rain removal. IEEE Trans Image Process 26(6):2944–2956. https://doi.org/10.1109/TIP.2017.2691802

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