Learning Multiscale Convolutional Dictionaries for Image Reconstruction

@article{Liu2022LearningMC,
  title={Learning Multiscale Convolutional Dictionaries for Image Reconstruction},
  author={Tianlin Liu and Anadi Chaman and David Belius and Ivan Dokmani'c},
  journal={IEEE Transactions on Computational Imaging},
  year={2022},
  volume={8},
  pages={425-437}
}
Convolutional neural networks (CNNs) have been tremendously successful in solving imaging inverse problems. To understand their success, an effective strategy is to construct simpler and mathematically more tractable convolutional sparse coding (CSC) models that share essential ingredients with CNNs. Existing CSC methods, however, underperform leading CNNs in challenging inverse problems. We hypothesize that the performance gap may be attributed in part to how they process images at different… 

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