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• W2989680664 abstract "In remote-sensing applications, digital holography data often includes both phase errors from atmospheric turbulence and fully developed laser speckle from rough objects. When processing single-shot data, i.e., data from a single hologram, the high speckle contrast makes it more difficult to correct for atmospheric phase errors compared to scenarios where multiple speckle realizations are available for processing. A Bayesian phase-error correction algorithm [J. Opt. Soc. Am. A34, 1659 (2017)JOAOD60740-323210.1364/JOSAA.34.001659] was recently developed for use with single-shot data. The features of this approach are discussed and used to implement an alternative algorithm based on image-sharpness maximization. Algorithm performance is tested using simulated data for a range of signal-to-noise ratios (SNRs) and turbulence conditions. Using a combination of appropriate parameterization of the phase-error estimates and spatial binning for speckle-contrast reduction, the image-sharpness algorithm achieves performance comparable (better in the high-SNR regime but worse in the low-SNR regime) to the Bayesian approach. Limited experimental results are also presented." @default.
• W2989680664 created "2019-12-05" @default.
• W2989680664 creator A5020390026 @default.
• W2989680664 date "2019-11-27" @default.
• W2989680664 modified "2023-09-24" @default.
• W2989680664 title "Phase-error correction in digital holography using single-shot data" @default.
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• W2989680664 doi "https://doi.org/10.1364/josaa.36.000d47" @default.
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