Publication | Closed Access
Fast-convergent algorithm for speckle-based phase retrieval and a design for dynamic wavefront sensing
38
Citations
35
References
2009
Year
Image ReconstructionEngineeringSensor ArrayCoherent Gradient SensingSpeckle-based Phase RetrievalDynamic WavefrontHealth SciencesReconstruction TechniqueMedical ImagingSynthetic Aperture RadarWave PropagationInverse ProblemsMedical Image ComputingSpeckle PatternsSignal ProcessingPhase RetrievalFast-convergent AlgorithmRadarArray ProcessingBiomedical ImagingQuantitative Phase ImagingWavefront Reconstruction
Wavefront reconstruction is carried out using sequentially recorded speckle patterns and an iterative phase retrieval method based on wave propagation. A novel fast-convergent algorithm that maintains the propagation distance in the iteration step equal to the distance between measurement planes is demonstrated. Employing the new algorithm, influences of the number of measurement planes, number of iterations, and uncertainties in the detector's transverse and axial positions on the rate of phase convergence are analyzed experimentally. A conceptual design for a dynamic wavefront sensor using arrays of beam splitters and detectors for parallel speckle recording is described.
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