Residual data for a fraction of the field of view of the simulation described in Sect. 6. The left to right and top to bottom panels show the iterations {0, 1, 2, 3}. As explained in Sect. 4.2.1, the ssd algorithm works differently from a matching pursuit in that it does joint deconvolution on subsets of pixels, and the estimated flux is fully removed at each iteration. The ssd has remarkable convergence properties.