Example workflow of how parallelism will work with our proposed method. We look to reconstruct full-resolution images in parallel, achieved by sharing the deconvolved residuals across different nodes after each major cycle, denoted as MC in the figure. A low and high- resolution image are produced after the first major cycle, denoted as ${\overline{\iota }}_{{ℒ}_1}\text{\hspace{0.17em}and\hspace{0.17em}}{\overline{\iota }}_{{\mathscr{H}}_1}$ respectively. Afterwards, full-resolution images ${\overline{\iota }}_{{\text{V}}_{{ℒ}_n}}$ and ${\overline{\iota }}_{{\text{V}}_{{\mathscr{H}}_n}}$ are produced. The final reconstructed images of their respective nodes, ${\widehat{ı}}_{{\text{V}}_{ℒ}}\text{\hspace{0.17em}and\hspace{0.17em}}{\widehat{ı}}_{{\text{V}}_{\mathscr{H}}}$, are then combined to produce the final reconstructed image î.