Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression

@article{Tekalp2021EditorialIT,
  title={Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression},
  author={A. Murat Tekalp and Michele Covell and Radu Timofte and Chao Dong},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.06531}
}
T HE huge success of deep-learning–based approaches in computer vision has inspired research in learned solutions to classic image/video processing problems, such as denoising, deblurring, dehazing, deraining, super-resolution (SR), and compression. Hence, learning-based methods have emerged as a promising nonlinear signal-processing framework for image/video restoration and compression. Recent works have shown that learned models can achieve significant performance gains, especially in terms… Expand
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