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Fast PSF reconstruction using the frozen flow hypothesis

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Abstract

For multi-frame blind deconvolution (MFBD) it is important to obtain good initial approximations of the point spread function (PSF) for each frame. Here we show that if a Taylor frozen flow hypothesis holds for short periods, then by exploiting these correlations in multiple wavefront sensor measurements, it is possible to obtain accurate estimates of the PSFs. The approach requires solving a large and sparse least squares problem.

© 2011 Optical Society of America

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