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  1. IEEE Xplore
    https://ieeexplore.ieee.org/document/9741335

    Recurrent Neural Networks for Snapshot Compressive Imaging

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    • Semantic Scholar
      https://www.semanticscholar.org/paper/Recurrent...

      Recurrent Neural Networks for Snapshot Compressive Imaging

      Tags:
      Snapshot Compressive Imaging
      Recurrent Neural Networks
    • Europe PMC
      https://europepmc.org/article/MED/35324434

      Recurrent Neural Networks for Snapshot Compressive Imaging.

    • ResearchGate
      https://www.researchgate.net/publication/359451857...

      Recurrent Neural Networks for Snapshot Compressive Imaging

      Tags:
      Snapshot Compressive Imaging
      Recurrent Neural Networks
      Artificial neural network
    • Springer
      https://link.springer.com/article/10.1007/s11263-021-01532-1

      Dual-view Snapshot Compressive Imaging via Optical Flow Aided …

    • arXiv.org
      https://arxiv.org/abs/2103.04421

      [2103.04421] Snapshot Compressive Imaging: Principle, …

      Tags:
      Snapshot Compressive Imaging
      Publish Year:2021
      Deep Learning
    • People also ask
      Can a deep unrolling neural network solve snapshot compressive hyperspectral imaging?
      Snapshot compressive hyperspectral imaging necessitates the reconstruction of a complete hyperspectral image from its compressive snapshot measurement, presenting a challenging inverse problem. This paper proposes an enhanced deep unrolling neural network, called EDUNet, to tackle this problem.

      Enhanced deep unrolling networks for snapshot ... - ScienceDirect

      sciencedirect.com
      What is snapshot compressive imaging (sci)?
      Snapshot compressive imaging (SCI) uses a two-dimensional (2D) detector to capture HD (≥ 3 D) data in a {\em snapshot} measurement. Via novel optical designs, the 2D detector samples the HD data in a {\em compressive} manner; following this, algorithms are employed to reconstruct the desired HD data-cube.

      Snapshot Compressive Imaging: Principle, Implementation, Theory

      arxiv.org
      What is recurrent neural network (RNN)?
      Furthermore, the extracted optical flow are explored bidirectionally and then fed into a recurrent neural network (RNN) to exploit temporal correlations between adjacent frames, resulting in reconstructed videos with more smoothness across time and less artifacts.

      Dual-view Snapshot Compressive Imaging via Optical Flow Aided R…

      link.springer.com
      Can a recurrent neural network reconstruct a video sequentially?
      Secondly, we integrate the bidirectional optical flow extracted from adjacent frames with the recurrent neural network to jointly reconstruct each video in a sequential manner. Extensive results on both simulation and real data demonstrate the superior performance of our proposed model in a short inference time.

      Dual-view Snapshot Compressive Imaging via Optical Flow

      arxiv.org
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    • Springer
      https://rd.springer.com/content/pdf/10.1007/978-3...
      [PDF]

      BIRNAT: Bidirectional Recurrent Neural Networks with …

      Tags:
      Snapshot Compressive Imaging
      Recurrent Neural Networks
      Adversarial system
    • IEEE Xplore
      https://ieeexplore.ieee.org/document/10551292

      Degradation Estimation Recurrent Neural Network With Local and …

      Tags:
      Hyperspectral imaging
      Snapshot
    • ScienceDirect
      https://www.sciencedirect.com/science/article/pii/S0893608024001746

      Enhanced deep unrolling networks for snapshot compressive …

      Tags:
      Snapshot Compressive Imaging
      Hyperspectral imaging
    • arXiv.org
      https://arxiv.org/abs/2109.05287

      Dual-view Snapshot Compressive Imaging via Optical Flow Aided …

      Tags:
      Snapshot Compressive Imaging
      Publish Year:2021
      Optical flow