Depth invariant feature extraction using deep learning in strong scattering

Yangyundou Wang; Zhaosu Lin; Yiming Li; Chuanfei Hu; Hui Yang; Yongxiong Wang; Min Gu

doi:10.1117/12.2616117

9 December 2021 Depth invariant feature extraction using deep learning in strong scattering

Yangyundou Wang, Zhaosu Lin, Yiming Li, Chuanfei Hu, Hui Yang, Yongxiong Wang, Min Gu

Proceedings Volume 11924, Optical Coherence Imaging Techniques and Imaging in Scattering Media IV; 1192413 (2021) https://doi.org/10.1117/12.2616117
Event: European Conferences on Biomedical Optics, 2021, Online Only

Abstract

We present that the trained phase reconstruction convolutional neural network (PRCNN) is able to extract the depth invariant information and reconstruct high-quality phase retrieval images of sparsity objects through a strong diffuser.

Citation Download Citation

Yangyundou Wang, Zhaosu Lin, Yiming Li, Chuanfei Hu, Hui Yang, Yongxiong Wang, and Min Gu "Depth invariant feature extraction using deep learning in strong scattering", Proc. SPIE 11924, Optical Coherence Imaging Techniques and Imaging in Scattering Media IV, 1192413 (9 December 2021); https://doi.org/10.1117/12.2616117

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