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- W2892265862 abstract "The dual-camera compressive hyperspectral imager (DCCHI) can capture 3D hyperspectral image (HSI) with a single snapshot. However, due to the high computation complexity of reconstruction methods, DCCHI cannot apply to the time-crucial applications. In this paper, we propose a GPU assisted towards real-time reconstruction framework for DCCHI. First, leveraging the fast convergence rate of the alternative direction multiplier method, we propose a reformative reconstruction algorithm which can achieve a fast convergence rate. Then, using the interpolation results of a low resolution reconstructed HSI as the warm start, we propose a fast reconstruction strategy to further reduce the computation burden. Last, a GPU parallel implementation is presented to achieve nearly real-time reconstruction. Evaluation experiments indicate our framework can obtain a significant promotion in reconstruction efficiency with a slight accuracy loss." @default.
- W2892265862 created "2018-09-27" @default.
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- W2892265862 date "2018-01-01" @default.
- W2892265862 modified "2023-09-24" @default.
- W2892265862 title "GPU Assisted Towards Real-Time Reconstruction for Dual-Camera Compressive Hyperspectral Imaging" @default.
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- W2892265862 doi "https://doi.org/10.1007/978-3-030-00776-8_65" @default.
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