Plug-and-Play image reconstruction is a convergent regularization method

Understand

Non-uniqueness and instability are characteristic features of image reconstruction processes.

• As a result, it is necessary to develop regularization methods that can be used to compute reliable approximate solutions.
• A regularization method provides of a family of stable reconstructions that converge to an exact solution of the noise-free problem as the noise level tends to zero.
• The standard regularization technique is defined by variational image reconstruction, which minimizes a data discrepancy augmented by a regularizer.