Paper
29 January 1988 Derivation And Simulation Of An Imaging Correlography Algorithm: A Modification Of The Idell-Fienup Algorithm
Kang-Soo Kim, David Caballero
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Abstract
A correlographic image reconstruction technique, using pupil-plane intensity pattern generated by a coherently illuminated diffuse object, has been developed. The technique consists of evaluating the pupil-plane intensity autocorrelation function and taking the Fourier transform of it. The resulting speckle power spectral density contains a term proportional to the autocorrelation of the object intensity in addition to a δ-function term. The object intensity autocorrelation (i.e. correlogram) is used to calculate the modulus of the object field, which is used as the seed for the phase-retrieval algorithm. The mathematical basis for this technique is derived in the paper and the results of computer simulation are also presented. The present technique is similar to that proposed by Idell and Fienup but contains a significant modification, and the difference manifests itself in the mathematical formulation and the computer simulation results.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kang-Soo Kim and David Caballero "Derivation And Simulation Of An Imaging Correlography Algorithm: A Modification Of The Idell-Fienup Algorithm", Proc. SPIE 0828, Digital Image Recovery and Synthesis, (29 January 1988); https://doi.org/10.1117/12.942093
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Cited by 1 scholarly publication.
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KEYWORDS
Computer simulations

Fourier transforms

Algorithm development

Image restoration

Phase retrieval

Speckle

Speckle pattern

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