Restoration of astronomical images by an iterative superresolution algorithm

In this work a new fast method for super-resolving noisy images is described. The iterative technique is similar to the positive constraint algorithm but faster and more effective in terms of the resulting global noise in the image. The astronomical use of the technique is illustrated by applying it to the LMC 49-50 (04/01/98) image. Results from this method are compared with those of well-known algorithms such as the Wiener filter, the positive constraint, the maximum a posteriori probability, and the LucyRichardson method.