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Three-dimensional imaging reconstruction algorithm of gated-viewing laser imaging with compressive sensing

机译:压缩感知的选通激光成像三维成像重建算法

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Three-dimensional (3D) laser imaging combining compressive sensing (CS) has an advantage in lower power consumption and less imaging sensors; however, it brings enormous stress to subsequent calculation devices. In this paper we proposed a fast 3D imaging reconstruction algorithm to deal with time-slice images sampled by single-pixel detectors. The algorithm implements 3D imaging reconstruction before CS recovery, thus it saves plenty of runtime of CS recovery. Several experiments are conducted to verify the performance of the algorithm. Simulation results demonstrated that the proposed algorithm has better performance in terms of efficiency compared to an existing algorithm. (C) 2014 Optical Society of America
机译:结合了压缩感测(CS)的三维(3D)激光成像具有功耗更低和成像传感器更少的优势;但是,这给后续的计算设备带来了巨大压力。在本文中,我们提出了一种快速的3D成像重建算法来处理由单像素检测器采样的时间切片图像。该算法在CS恢复之前实现了3D成像重建,因此节省了CS恢复的大量运行时间。进行了几次实验以验证算法的性能。仿真结果表明,与现有算法相比,该算法具有更高的效率。 (C)2014年美国眼镜学会

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