Experience with the matched filtered weighted-shift-and-add method

Details Experience with the matched filtered weighted-shift-and-add method Experience with the matched filtered weighted-shift-and-add method

Jan 1987

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1987spie..828...54h&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

Computer Science

Artificial Intelligence

Imaging Techniques, Matched Filters, Power Spectra, Speckle Interferometry, Artificial Intelligence, Convolution Integrals, Fourier Transformation, Pixels, Transfer Functions

Scientific paper

It is presently demonstrated that while the matched filter formulated by Ribak (1986) for the extension of the weighted-shift-and-add (WSA) method successfully reduces photon statistics-dominated specklegrams, the iterative method originally proposed by Ribak does not converge in the case of photon-noisy specklegrams for objects having more than one maxima. Attention is accordingly given to methods for rendering the procedure more 'artificially intelligent'. An error matrix is defined that is useful in evaluating the validity of the results produced by the matched filter extension of the WSA method.

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