Trust Region Plug-and-Play With Provable Convergence for Image Restoration
The Plug-and-Play (PnP) method is an optimization-based splitting algorithm that solves image inversion problems by combining data fidelity with a deep learning-based denoiser as an implicit regularization term. While many theoretical studies have been conducted to develop convergent PnP methods, most frameworks remain...