Recent advances in deconvolution have allowed positive images to be deconvolved without prior knowledge of either of the images comprising the convolution. We incorporate these methods into the shift-and-add principle by exploiting the property of the basic shift-and-add image that it is a (noisy) convolution of the true image of an object with some unknown point-spread-function. This allows an estimate of the true image to be extracted from the shift-and-add image. The computational efficiency of basic shift-and-add is preserved during data gathering since extensive computation is only applied to a single image. Results are presented of a computer simulation of the technique, indicating that it can remove the "ghosts" which are present in the basic shift-and-add image of a multiple star.
R.H. T. Bates,
B.L. K. Davey,
"Towards Making Shift-And-Add A Versatile Imaging Technique", Proc. SPIE 0828, Digital Image Recovery and Synthesis, (29 January 1988); doi: 10.1117/12.942083; https://doi.org/10.1117/12.942083