Abstract
Performances of iterative blind deconvolution methods for motion-blurred images are
usually reduced depending on the accuracy of the required initial guess of the blur.
We examine this dependency, and a two-stage restoration procedure is proposed: First we perform a
direct technique with a single straightforward process to produce a rough initial estimate
of the blur, and then an iterative technique is employed to refine the blur estimate. Two
common iterative techniques (the expectation-maximization and the Richardson–Lucy methods) are
examined here and implemented in the combined direct–iterative modification for a variety
of motion blur types. Results show that the combined method significantly improves the
reliability of the deconvolution process.
© 2006 Optical Society of America
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