WASP: weighted average of sequential projections for ptychographic phase retrieval
Andrew Maiden, Wenjie Mei, Peng Li
Abstract
We introduce the weighted average of sequential projections, or WASP, an algorithm for ptychography. Using both simulations and real-world experiments, we test this new approach and compare performance against several alternative algorithms. These tests indicate that WASP effectively combines the benefits of its competitors, with a rapid initial convergence rate, robustness to noise and poor initial conditions, a small memory footprint, easy tuning, and the ability to reach a global minimum when provided with noiseless data. We also show how WASP can be parallelised to split operation across several different computation nodes.
Topics & Concepts
Robustness (evolution)Phase retrievalPtychographyComputer scienceComputationAlgorithmConvergence (economics)Rate of convergenceNoise (video)Memory footprintOpticsArtificial intelligenceMathematicsFourier transformImage (mathematics)PhysicsDiffractionOperating systemComputer networkChemistryMathematical analysisGeneEconomicsChannel (broadcasting)Economic growthBiochemistryAdvanced X-ray Imaging TechniquesAstrophysical Phenomena and Observations