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Dynamic DH-MBIR for Phase-Error Estimation from Streaming Digital-Holography Data
These phase error estimates must be computed with very low latency to keep pace with changing atmospheric parameters, which requires that phase errors be estimated in a single shot of DH data.
Phase-error estimation and image reconstruction from digital-holography data using a Bayesian framework
The estimation of phase errors from digital-holography data is critical for applications such as imaging or wave-front sensing.
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