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Shuaidong Lu on Muck Rack

Shuaidong Lu

As seen in: Optica
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Articles

One step accurate phase demodulation from a closed fringe pattern with the convolutional neural network HRUnet

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By Xiaoying Hu, Fan Wang, Shenjiang Wu, Shuaidong Lu
| Optica Verified
Retrieving a phase map from a single closed fringe pattern is a challenging task in optical interferometry. In this paper, a convolutional neural network (CNN), HRUnet, is proposed to demodulate phase from a closed fringe pattern. The HRUnet, derived from the Unet model, adopts a high resolution network (HRnet) module to extract high resolution feature maps of the data and employs residual blocks to erase the gradient vanishing in the network.
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