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24 April 2018 Speckle reconstruction method based on machine learning
Hui Chen, Yesheng Gao, Xingzhao Liu
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Proceedings Volume 10711, Biomedical Imaging and Sensing Conference; 107111U (2018) https://doi.org/10.1117/12.2317046
Event: SPIE Structured Light, 2018, Yokohama, Japan
Abstract
Scattering media would deteriorate an object image into unrecognizable speckle pattern. Machine learning is introduced to reconstruct the object image from speckle pattern. In the proposed method, a database containing two groups (i.e., face image-and-speckle-pattern pairs, non-face image-and-speckle-pattern pairs) is firstly established. Then support vector classification (SVC) is introduced to classify a given unknown speckle pattern into which group it belongs to. Taking advantage of support vector regression (SVR), the object image corresponding to the unknown speckle pattern can be reconstructed. Experiments are conducted to verify the effectiveness of the proposed method, as well as the necessity of the introduction of SVC.
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Hui Chen, Yesheng Gao, and Xingzhao Liu "Speckle reconstruction method based on machine learning", Proc. SPIE 10711, Biomedical Imaging and Sensing Conference, 107111U (24 April 2018); https://doi.org/10.1117/12.2317046
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KEYWORDS
Speckle pattern
Machine learning
Scattering media
Inverse scattering
Inverse scattering problem
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