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Phase retrieval by iterated projections
720
Citations
17
References
2003
Year
EngineeringPhysicsMicroscopyIterated ProjectionsObject HistogramGeometrical OpticDigital HolographyApplied PhysicsDifference MapSignal ReconstructionHypercomplex Phase RetrievalOptical Information ProcessingInverse ProblemsQuantitative Phase ImagingOptical SystemsApproximation TheoryCrystallographyPhase Retrieval
In optical phase retrieval, the difference map reproduces Fienup’s hybrid input‑output map when two of its parameters are chosen appropriately. The study investigates applying the difference map to crystallographic phase retrieval by replacing support constraints with object histogram or atomicity constraints. The authors construct a difference map from two elementary projections and three real parameters, and analyze its geometry to distinguish fixed points from the recovered object and to avoid stagnation seen in alternating projection schemes. Numerical experiments with synthetic data indicate that the method can solve structures containing hundreds of atoms.
Several strategies in phase retrieval are unified by an iterative "difference map" constructed from a pair of elementary projections and three real parameters. For the standard application in optics, where the two projections implement Fourier modulus and object support constraints, respectively, the difference map reproduces the "hybrid" form of Fienup's input-output map when a particular choice is made for two of the parameters. The geometric construction of the difference map illuminates the distinction between its fixed points and the recovered object, as well as the mechanism whereby the form of stagnation encountered by alternating projection schemes is avoided. When support constraints are replaced by object histogram or atomicity constraints, the difference map lends itself to crystallographic phase retrieval. Numerical experiments with synthetic data suggest that structures with hundreds of atoms can be solved.
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