Partially coherent phase imaging with source shapes estimation
We propose a method to recover quantitative phase from a stack of defocused intensity images illuminated with partially coherent light from a source of arbitrary shape in Köhler geometry. The algorithm uses a sparse Kalman filtering approach which is fast, accurate, and robust to noise. The proposed...
Saved in:
Main Authors: | Zhong, Jingshan, Tian, Lei, Dauwels, Justin, Waller, Laura |
---|---|
Other Authors: | Popescu, Gabriel |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/106118 http://hdl.handle.net/10220/26292 http://dx.doi.org/10.1117/12.2078229 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Transport of intensity phase imaging by intensity spectrum fitting of exponentially spaced defocus planes
by: Tian, Lei, et al.
Published: (2014) -
Efficient Gaussian inference algorithms for phase imaging
by: Vazquez, Manuel A., et al.
Published: (2013) -
Sparse ACEKF for phase reconstruction
by: Vazquez, Manuel A., et al.
Published: (2013) -
On the shape of e
by: Feliciano, Cherry C., et al.
Published: (1993) -
Deformation quantization in the teaching of Lie group representations
by: Balsomo, Alexander J, et al.
Published: (2017)