Towards making shift-and-add a versatile imaging technique

Statistics – Computation

Scientific paper

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Image Reconstruction, Imaging Techniques, Speckle Patterns, Algorithms, Fourier Transformation

Scientific paper

Recent advances in deconvolution have allowed positive images to be deconvolved without prior knowledge of either of the images comprising the convolution. These methods are presently incorporated 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 from 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.

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