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									                  Overcoming the Challenges of Image Restoration
                                 Ronald Magarin

                    University of Hawai‘i - Institute for Astronomy
                                  Mentor: Doug Hope
                               Advisor: Stuart Jefferies
                      Home Institution: Maui Community College

Images of objects in space obtained by ground-based telescopes are often of poor quality,
due to turbulence in the atmosphere that is caused by a mixing of hot and cold air. This
turbulence causes a random blur in the image, which reduces the amount of information
about the object that can be inferred from the data. Removing this random blur is the
problem of image restoration. The success of image restoration depends on many factors,
such as the amount of data, the strength of the turbulence and constraints set by the
imaging system. One such constraint is the pupil function, which describes the
diameters of the primary and secondary mirrors of the telescope. Using simulations, we
investigate how using different pupil functions in the restoration process affects the
quality of the final restored image.

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