D-VDAMP: Denoising-Based Approximate Message Passing for Compressive MRI

  title={D-VDAMP: Denoising-Based Approximate Message Passing for Compressive MRI},
  author={Christopher A. Metzler and Gordon Wetzstein},
  journal={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  • Christopher A. Metzler, G. Wetzstein
  • Published 25 October 2020
  • Computer Science
  • ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Plug and play (P&P) algorithms iteratively apply highly optimized image denoisers to impose priors and solve computational image reconstruction problems, to great effect. However, in general the "effective noise", that is the difference between the true signal and the intermediate solution, within the iterations of P&P algorithms is neither Gaussian nor white. This fact makes existing denoising algorithms suboptimal.In this work, we propose a CNN architecture for removing colored Gaussian noise… 

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