| 压缩感知理论在红外成像中的应用 |
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| 引用本文： | 张西红,李永浩,康健.压缩感知理论在红外成像中的应用[J].军械工程学院学报,2011(1):60-63. |
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| 作者姓名： | 张西红 李永浩 康健 |
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| 作者单位： | 军械工程学院计算机工程系,河北石家庄050003 |
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| 摘 要： | 分析了红外图像的数据特性，并对红外数据进行稀疏化处理，提出了基于压缩感知理论的红外图像成像方法。在红外图像测量平面使用随机观测矩阵进行观测，以少量的数据采样信息获得重建红外图像的足够信息。由实验和仿真计算可知，压缩感知理论应用于红外成像技术，降低了数据采样量，提高了采样速度，并能以较小的误差实现红外图像的重构。
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| 关 键 词： | 压缩感知 红外成像 红外直方图 l1magic 稀疏化 |
A New Infrared Imaging Method Based on Random Compressive Sensing |
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| ZHANG Xi-hong,LI Yong-hao,KANG Jian.A New Infrared Imaging Method Based on Random Compressive Sensing[J].Journal of Ordnance Engineering College,2011(1):60-63. |
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| Authors: | ZHANG Xi-hong LI Yong-hao KANG Jian |
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| Institution: | (Department of Computer Engineering, Ordnance Engineering College, Shijiazhuang 050003, China) |
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| Abstract: | Considering the sparse structure of actual infrared image, a new infrared imaging method based on random compressive sensing is proposed in this paper. Using a small quantity of gathered data, this method can reconstruct subtotal information of infrared image. According to the conclusion from emulation mode, the infrared imaging method based on random compressive sensing is more efficacious than traditional method, reconstructs the original infrared image effectively. |
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| Keywords: | compressive sensing infrared image histogram 11 magic sparse |
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