In this paper we present a sparse reconstruction algorithm for the deconvolution of radio astronomical synthesis images. We present the deconvolution problem as an ?1 optimization. Using the sparsity of the astronomical image we obtain that the ?1 reconstruction recovers the sparse image consistent with the observed data. We end up with a simulated example of the reconstruction, using a simulated radio telescope array.