Phase Retrieval Method for Phase-shifting Interferometry with Machine Learning
Article No.: 74, Pages 1 - 5
Abstract
Phase contrast imaging attracts attention in the biomedical field thanks to higher contrast than absorption contrast. However, the phase retrieval for phase-shifting interferometry (PSI) often involves the problems, e.g., the noise, stepping error and phase wrapping. In the conventional way, each issue had to be addressed individually. In this paper, we propose the machine learning based method, which uses the neural network and learns features in an end-to-end manner. The proposed method can resolve the noise, stepping error artifacts and phase wrapping, simultaneously. The results are shown by numerical simulation.
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Index Terms
- Phase Retrieval Method for Phase-shifting Interferometry with Machine Learning
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Published In
August 2019
584 pages
ISBN:9781450376259
DOI:10.1145/3387168
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Association for Computing Machinery
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Published: 25 May 2020
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ICVISP 2019
ICVISP 2019: 3rd International Conference on Vision, Image and Signal Processing
August 26 - 28, 2019
BC, Vancouver, Canada
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ICVISP 2019 Paper Acceptance Rate 126 of 277 submissions, 45%;
Overall Acceptance Rate 186 of 424 submissions, 44%
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