Fast PSF reconstruction using the frozen flow hypothesis

摘要: 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 short periods, then by exploiting these correlations in multiple wavefront sensor measurements, possible accurate estimates PSFs. The approach requires solving large and sparse least squares problem.