Simultaneous Phase Retrieval and Deblurring for the Hubble Space Telescope

Timothy J. Schulz and Stephen C. Cain


Most methods proposed for restoring images acquired by the Hubble Space Telescope rely on prior knowledge of the telescope's point-spread function; however, for many images, this function is not known precisely and must be inferred from the noisy measured data. In this paper, we address this problem and discuss a maximum-likelihood estimation technique for simultaneously determining the nature of the aberrations and for recovering the underlying object from a noisy, degraded image.


Pages 206-211


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