Convolutional Dictionary Learning: Acceleration and Convergence

@article{Chun2018ConvolutionalDL,
  title={Convolutional Dictionary Learning: Acceleration and Convergence},
  author={I. Y. Chun and J. Fessler},
  journal={IEEE Transactions on Image Processing},
  year={2018},
  volume={27},
  pages={1697-1712}
}
  • I. Y. Chun, J. Fessler
  • Published 2018
  • Mathematics, Computer Science, Medicine
  • IEEE Transactions on Image Processing
  • Convolutional dictionary learning (CDL or sparsifying CDL) has many applications in image processing and computer vision. There has been growing interest in developing efficient algorithms for CDL, mostly relying on the augmented Lagrangian (AL) method or the variant alternating direction method of multipliers (ADMM). When their parameters are properly tuned, AL methods have shown fast convergence in CDL. However, the parameter tuning process is not trivial due to its data dependence and, in… CONTINUE READING
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