A NOVEL MAXIMUM-LIKELIHOOD METHOD FOR IMAGE-RECONSTRUCTION WITH INCREASED SAMPLING

We have developed a novel maximum likelihood method dubbed IRIS (image reconstruction with increased sampling) for reconstructing images tha t have been blurred by a known point-spread function and recorded on a CCD detector. The IRIS method allows the reconstructed images to be r epresented on a finer grid than that defined by the CCD detector. We i llustrate the method on images of the solar corona obtained with the s oft X-ray telescope aboard the Yohkoh satellite. The IRIS method can b e adapted easily for use with other imaging systems to provide superre solved reconstructed images.