Image restoration and enhancement improve image quality for visualization and analysis. However, existing solutions lack user-friendly interfaces, hindering adoption. Napari, a Python image viewer, offers an ideal platform for integrating image processing tools. This proposal suggests developing general-purpose image restoration and enhancement plugins for Napari, adhering to HPC standards and FAIR principles. These plugins, combined with Napari's visual features, enable imaging scientists to leverage modern computational imaging methods seamlessly in their workflows.