Next: Introduction
Simultaneous Phase Retrieval and Deblurring for the Hubble
Space Telescope
Timothy J. Schulz and Stephen C. Cain
Michigan Technological University,
Houghton, MI 49931-1295
Abstract:
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.
Keywords:
blind deconvolution, deblurring, phase retrieval