An Online Plug-and-Play Algorithm for Regularized Image Reconstruction

Understand

Plug-and-play priors (PnP) is a powerful framework for regularizing imaging inverse problems by using advanced denoisers within an iterative algorithm.

• Recent experimental evidence suggests that PnP algorithms achieve state-of-the-art performance in a range of imaging applications.
• In this paper, we introduce a new online PnP algorithm based on the iterative shrinkage/thresholding algorithm (ISTA).
• The proposed algorithm uses only a subset of measurements at every iteration, which makes it scalable to very large datasets.