Image recovery by convex projections using a least-squares constraint

We introduce a new convex constraint for image recovery using the method of projection onto convex sets. The set of least-squares solutions to the image-recovery problem is shown to form a convex set. The projection operator onto this set is presented. The resulting least-squares projection method is shown to provide improved performance over conventional projection techniques.