A generalization for optimized phase retrieval algorithms

被引：12

作者：

Adams, Daniel E. ^{[1
]}

Martin, Leigh S. ^{[1
]}

Seaberg, Matthew D. ^{[1
]}

Gardner, Dennis F. ^{[1
]}

Kapteyn, Henry C. ^{[1
]}

Murnane, Margaret M. ^{[1
]}

机构：

[1] Univ Colorado, JILA, Boulder, CO 80309 USA

来源：

OPTICS EXPRESS | 2012年 / 20卷 / 22期

基金：

美国国家科学基金会;

关键词：

RAY-DIFFRACTION MICROSCOPY; PROJECTIONS; IMAGE;

D O I：

10.1364/OE.20.024778

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this work, we demonstrate an improved method for iterative phase retrieval with application to coherent diffractive imaging. By introducing additional operations inside the support term of existing iterated projection algorithms, we demonstrate improved convergence speed, higher success rate and, in some cases, improved reconstruction quality. New algorithms take a particularly simple form with the introduction of a generalized projection-based reflector. Numerical simulations verify that these new algorithms surpass the current standards without adding complexity to the reconstruction process. Thus the introduction of this new class of algorithms offers a new array of methods for efficiently deconvolving intricate data. (C) 2012 Optical Society of America

引用

页码：24778 / 24790

页数：13

共 26 条

[1]

[Anonymous], 1997, Parallel Optimization: Theory, Algorithms, and Applications

[2] Finding best approximation pairs relative to two closed convex sets in Hilbert spaces [J].