Phase retrieval and saddle-point optimization

Details Phase retrieval and saddle-point optimization Phase retrieval and saddle-point optimization

2006-11-24

arxiv.org/abs/physics/0611233v5

J. Opt. Soc. Am. A 24, 3289-3296 (2007)

Physics

Optics

8 pages, 4 figures, revtex

Scientific paper

10.1364/JOSAA.24.003289

Iterative algorithms with feedback are amongst the most powerful and versatile optimization methods for phase retrieval. Among these, the hybrid input-output algorithm has demonstrated practical solutions to giga-element nonlinear phase retrieval problems, escaping local minima and producing images at resolutions beyond the capabilities of lens-based optical methods. Here, the input-output iteration is improved by a lower dimensional subspace saddle-point optimization.

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