Statistical analysis in machine learning reconstruction of images transmitted through a multimode fiber

Wenjian Lu

doi:10.1117/12.2575177

10 October 2020 Statistical analysis in machine learning reconstruction of images transmitted through a multimode fiber

Wenjian Lu

Proceedings Volume 11549, Advanced Optical Imaging Technologies III; 115491K (2020) https://doi.org/10.1117/12.2575177
Event: SPIE/COS Photonics Asia, 2020, Online Only

Conference Poster

Abstract

We applied a one-dense-layer model to reconstruct the input images from the intensity of the speckle patterns coupled out from a multimode fiber. We studied the singular value statistics of the complex weight matrix, an approximation to the full transmission matrix. We compared the reconstruction quality with other DL models. We observed less time consuming and better tolerance to speckle patterns blocking and downsampling compared to other DL methods. We believe this one-dense-layer model shows alternative routes to retrieve the transmission matrix with machine learning. Our statistical study of the complex weight matrix would advance the physical understanding of image reconstruction through multimode fiber with different DL models.

Conference Presentation

Citation Download Citation

Wenjian Lu "Statistical analysis in machine learning reconstruction of images transmitted through a multimode fiber", Proc. SPIE 11549, Advanced Optical Imaging Technologies III, 115491K (10 October 2020); https://doi.org/10.1117/12.2575177

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