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无源毫米波超分辨算法及实时性研究
引用本文:李良超,杨建宇,郑鑫,姜正茂. 无源毫米波超分辨算法及实时性研究[J]. 电子科技大学学报(社会科学版), 2009, 0(6)
作者姓名:李良超  杨建宇  郑鑫  姜正茂
作者单位:电子科技大学电子工程学院;
基金项目:国家自然科学基金重点项目(60632020)
摘    要:针对无源毫米波成像中图像分辨率低的问题,提出了一种改进的最大后验(MAP)超分辨算法。该算法结合了Wiener滤波复原算法和基于泊松分布的MAP算法的优点,使用Wiener滤波复原算法恢复图像通带内的低频分量,运用MAP算法作为主迭代过程实现频谱外推,同时保证低频分量不被破坏;并对该算法的计算复杂度和实时性进行了分析。通过仿真可知,该算法可有效地恢复图像截止频谱外的信息,提高图像空间分辨率,处理时间少,易于实现并行处理。

关 键 词:最大后验  无源毫米波  实时性  超分辨  

Research on Passive Millimeter Wave Image Super-Resolution Algorithm and Real-time Implementation
LI Liang-chao,YANG Jian-yu,ZHENG Xin,, JIANG Zheng-mao. Research on Passive Millimeter Wave Image Super-Resolution Algorithm and Real-time Implementation[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2009, 0(6)
Authors:LI Liang-chao  YANG Jian-yu  ZHENG Xin     JIANG Zheng-mao
Affiliation:LI Liang-chao,YANG Jian-yu,ZHENG Xin,, JIANG Zheng-mao(School of Electronic Engineering,University of Electronic Science , Technology of China Chengdu 610054)
Abstract:To solve the problem of poor resolution in passive millimeter wave(PMMW) imaging,we present an improved maximum a posteriori(MAP) super-resolution algorithm.The algorithm combines the advantages of Wiener filter restoration algorithm and MAP algorithm based on Poisson distribution.The Wiener filter is employed to restore the pass-band spectrum,and the MAP algorithm is applied to complete spectral extrapolation as the main iterative process to ensure that low-frequency component is not destroyed as spectral ...
Keywords:maximum a posteriori  passive millimeter wave  real-time  super-resolution  
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