GUN: Gradual Upsampling Network for Single Image Super-Resolution

@article{Zhao2017GUNGU,
  title={GUN: Gradual Upsampling Network for Single Image Super-Resolution},
  author={Yang Zhao and Guoqing Li and Wenjun Xie and Wei Jia and Hai Min and Xiaoping Liu},
  journal={IEEE Access},
  year={2017},
  volume={6},
  pages={39363-39374}
}
In this paper, an efficient super-resolution (SR) method based on deep convolutional neural network (CNN) is proposed, namely gradual upsampling network (GUN). Recent CNN-based SR methods often preliminarily magnify the low-resolution (LR) input to high-resolution (HR) input and then reconstruct the HR input, or directly reconstruct the LR input and then recover the HR result at the last layer. The proposed GUN utilizes a gradual process instead of these two commonly used frameworks. The GUN… 

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