Acceleration of phase retrieval algorithms through intermediate phase unwrapping
Oleg Soloviev (TU Delft - Mechanical Engineering, Flexible Optical B.V.)
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Abstract
We investigate the enhancement of projection-based phase retrieval algorithms through intermediate phase unwrapping steps. In the phase retrieval problem, convergence to local minima presents a serious obstacle for standard iterative algorithms. Wrong solutions are typically characterized by the presence of phase residues, while the ground truth phase is often residue-free. We present our first results in introducing phase unwrapping as an intermediate step in the projection-based algorithms, demonstrated on simulated and experimental data. The method can reduce convergence time or produce a physically meaningful solution where standard algorithms fail. The proposed method can find applications in microscopy, characterization of precise optical instruments, and wavefront sensing.