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Proceedings Paper

Speckle reconstruction method based on machine learning
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Paper 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.

Paper Details

Date Published: 24 April 2018
PDF: 3 pages
Proc. SPIE 10711, Biomedical Imaging and Sensing Conference, 107111U (24 April 2018); doi: 10.1117/12.2317046
Show Author Affiliations
Hui Chen, Shanghai Jiao Tong Univ. (China)
Yesheng Gao, Shanghai Jiao Tong Univ. (China)
Xingzhao Liu, Shanghai Jiao Tong Univ. (China)


Published in SPIE Proceedings Vol. 10711:
Biomedical Imaging and Sensing Conference
Toyohiko Yatagai; Yoshihisa Aizu; Osamu Matoba; Yasuhiro Awatsuji; Yuan Luo, Editor(s)

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