A standard model for image reconstruction involves the minimization of a data-fidelity term along with regularizer, where optimization is performed using proximal algorithms such as ISTA and ADMM. In plug-and-play (PnP) regularization, operator (associated regularizer) in ADMM replaced by powerful denoiser. Although PnP regularization works surprisingly well practice, its theoretical convergenc...