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Images are most often represented by pixel data on Cartesian grids. However, finite element models may be preferred in certain situations. Examples include images on triangulated surfaces, or when higher-order representations and adaptivity play a role. Choosing a finite element discretization has interesting implications on the algorithmic solution of image restoration and related problems as well as their duals, which will be highlighted by the speakers in this minisymposium.