I've applied the technique suggested by Knox-Thompson to all frames of a movie, and calculated the average phase. The reconstructed result doesn't look like anything useful. Just using the average phase from the transform produces something that looks like the average magnitude and zero phase reconstruction, but with some extra lobes at the corners due to the phase bumps near DC. I decoupled the correlation calculation from the phase calculation, and that produced better results which might be a PSF candidate, but which is shifted slightly in the frame. The resulting phase is smooth but has a slight gradient to it which is responsible for the shift. To use as a PSF I just shift it so the maximum is at (31, 31). I wrote C code to do the forward multiplicative deconvolution search, and applied that to several frames of a movie, and then used the resulting images to get better PSF estimates for each frame, and averaged them all together. The SWRI alphas are not online, so I've been running everything on the 2 Macs I have here. I used the 3 main PSF candidates (average magnitude and zero phase, average magnitude and correlated phase, and average PSF from forward deconvolution frames) to compare their performance in iterated deconvolution (minimizing sum of squares error) of several movie frames. In all cases the 3rd PSF was consistently better than the other two, so I am running forward deconvolutions on more movie frames to get more PSFs to average. I modified the multiplicative deconvolver to do additive (and subtractive) perturbation of images, and the result is that you get an image, of sorts, but it has negative values in it and isn't quite as good as the positive definite image. I'm currently using random band-limited data with compact support to try to create an 'inverse PSF' to check out the claim that deconvolutions can be turned into convolutions. If this works, it would mean that instead of spending a day deconvolving each frame of data, we would spend a day finding an inverse PSF and then all deconvolutions of that PSF would become (fast) convolutions with the inverse PSF instead. I should know more about this next week.