融合压缩感知—Landweber法图像重建 |
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引用本文: | 周文娟,梁志剑.融合压缩感知—Landweber法图像重建[J].核电子学与探测技术,2016(9):885-888. |
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作者姓名: | 周文娟 梁志剑 |
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作者单位: | 1. 中北大学电子测试技术重点实验室,太原,030051;2. 中北大学计算机与控制工程学院,太原,030051 |
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基金项目: | 山西省回国留学人员科研项目(2014-052) |
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摘 要: | 为提高Landweber算法的收敛速度,将压缩感知理论引入到Landweber算法中,理论上证明了该算法的可行性并用改进的距离驱动进行系统矩阵的建模。实验结果证明:融合算法进行图像重建时,算法的收敛速度及采样时间均优于Landweber算法。并用GPU对重建算法进行加速,大幅度提高了算法的执行速度。
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关 键 词: | 改进的距离驱动 GPU Landweber算法 压缩感知 |
Compressed Sensing-Fused Landweber Algorithm |
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Abstract: | In order to increase the convergence speed of Landweber algorithm, compressed seasoning is combined in Landweber algorithm.Its feasibility is discussed theoretically and improved distance driven method is used to generate system matrix.The simulation experiment proves that fusion algorithm is better than traditional Landweber algorithm in convergence speed and time of getting projection data.What's more, fusion algorithm based on GPU can accelerate the execute time of the algorithm. |
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Keywords: | improved distance driven GPU Landweber algorithm CS |
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