Phase-gradient speckle-image reconstruction - Discrete-photon case

Details Phase-gradient speckle-image reconstruction - Discrete-photon case Phase-gradient speckle-image reconstruction - Discrete-photon case

Jan 1987

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1987spie..828...47a&link_type=abstract

IN: Digital image recovery and synthesis; Proceedings of the Meeting, San Diego, CA, Aug. 17, 18, 1987 (A88-51101 22-35). Bellin

Statistics

Computation

Binary Stars, Image Reconstruction, Spatial Resolution, Speckle Interferometry, Algorithms, Histograms

Scientific paper

The phase-gradient algorithm (PG) determines the phase of a stellar object's spatial spectrum by estimating the derivatives of the phase directly from the speckle images and then integrating. A photon-address version of the PG has been successfully implemented for use at very low light levels. Computation of image-domain cross-correlation functions is simply a matter of generating the two-dimensional histograms of address differences, and bias terms are eliminated by omitting all photon self-correlation products. In a series of comparisons with a photon-address Knox-Thompson algorithm, PG proved to have greater computational efficiency, to be more robust, and to yield images with lower noise.

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