Phase and amplitude imaging from noisy images by Kalman filtering

被引：49

作者：

Waller, Laura ^{[1
]}

Tsang, Mankei ^{[1
]}

Ponda, Sameera ^{[2
]}

Yang, Se Young ^{[3
]}

Barbastathis, George ^{[3
,4
]}

机构：

[1] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA

[2] MIT, Dept Aeronaut & Astronaut, Cambridge, MA 02139 USA

[3] MIT, Dept Mech Engn, Cambridge, MA 02139 USA

[4] Singapore MIT Alliance Res & Technol Ctr, Singapore 117543, Singapore

来源：

OPTICS EXPRESS | 2011年 / 19卷 / 03期

基金：

美国国家科学基金会;

关键词：

RETRIEVAL ALGORITHMS; INTENSITY APPROACH; GERCHBERG-SAXTON; RECONSTRUCTION; DIVERSITY; TRANSPORT; MICROSCOPY; FOURIER; CONTRAST; MODULUS;

D O I：

10.1364/OE.19.002805

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We propose and demonstrate a computational method for complex-field imaging from many noisy intensity images with varying defocus, using an extended complex Kalman filter. The technique offers dynamic smoothing of noisy measurements and is recursive rather than iterative, so is suitable for adaptive measurements. The Kalman filter provides near-optimal results in very low-light situations and may be adapted to propagation through turbulent, scattering, or nonlinear media. (C) 2011 Optical Society of America

引用

页码：2805 / 2815

页数：11

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