Restoration of astronomical images by an iterative superresolution algorithm
University of Reading, Department of Physics, JJ Thomson Physical Laboratory, PO Box 220, Reading RG6 6AF, UK
Corresponding author: E. Boukouvala, email@example.com
Accepted: 10 September 2002
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 Lucy-Richardson method.
Key words: methods: data analysis / techniques: image processing
© ESO, 2003