Title
Nonlinear Optimization Algorithm for Partially Coherent Phase Retrieval and Source Recovery.
Abstract
We propose a new algorithm for recovering both complex field (phase and amplitude) and source distribution (illumination spatial coherence) from a stack of intensity images captured through focus. The joint recovery is formulated as a nonlinear least-square-error optimization problem, which is solved iteratively by a modified Gauss-Newton method. We derive the gradient and Hessian of the cost func...
Year
DOI
Venue
2016
10.1109/TCI.2016.2571669
IEEE Transactions on Computational Imaging
Keywords
Field
DocType
Lighting,Convolution,Computational modeling,Optimization,Microscopy,Mathematical model
Köhler illumination,Nonlinear system,Nonlinear programming,Hessian matrix,Microscope,Artificial intelligence,Optimization problem,Computer vision,Mathematical optimization,Phase retrieval,Convolution,Algorithm,Mathematics
Journal
Volume
Issue
ISSN
2
3
2573-0436
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Jingshan Zhong1142.16
Lei Tian28712.96
Paroma Varma383.50
laura waller4396.72