The Plug-and-Play prior (PnP) is also known as denoising prior which has been successfully utilized in non-linear imaging problems. The paper presents a hybrid PnP which is incorporated into the fast composite splitting algorithm (FCSA) for compressed sensing magnetic resonance imaging (CS-MRI). The advantage of the hybrid PnP over generic PnP such as BM3D is that it can further remove artifacts and preserve adaptively fine structures in CS-MRI reconstruction. Experimental results and performance comparisons with generic PnP-FISTA show the superiority of the proposed approach even for high acceleration factor.
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