Title | ||
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Nonlinear Optimization Algorithm for Partially Coherent Phase Retrieval and Source Recovery. |
Abstract | ||
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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 |
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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 Zhong | 1 | 14 | 2.16 |
Lei Tian | 2 | 87 | 12.96 |
Paroma Varma | 3 | 8 | 3.50 |
laura waller | 4 | 39 | 6.72 |