  Deconvolution with a box (square wave) is a key operation for
super-resolution with pixel-shift cameras. In general convolution with a box is
not invertible. However, we can obtain perfect reconstructions of sparse
signals using convex optimization. We give a direct proof that improves on the
reconstruction bound that follows from previous results. We also show our bound
is tight and matches an information theoretic limit.
