[1]赵伊宁,李跃华,李垣江,等.无源毫米波图像 Contourlet 域最大似然超分辨算法[J].计算机技术与发展,2013,(01):91-94.
　ZHAO Yi-ning,LI Yue-hua,LI Yuan-jiang,et al.Maximum Likelihood Super-resolution Algorithm for Passive Millimeter Wave Images in Contourlet Domain[J].,2013,(01):91-94.
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无源毫米波图像 Contourlet 域最大似然超分辨算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年01期
页码:
91-94
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Maximum Likelihood Super-resolution Algorithm for Passive Millimeter Wave Images in Contourlet Domain
文章编号:
1673-629X（2013）01-0091-04
作者:
赵伊宁1; 李跃华2; 李垣江2; 张光锋2
[1]长春理工大学 光电工程学院;[2]南京理工大学 电光学院 毫米波光波近感技术研究所
Author(s):
ZHAO Yi-ning; LI Yue-hua; LI Yuan-jiang; ZHANG Guang-feng
关键词:
Richardson-Lucy; 算法; Contourlet; 变换; 频谱外推
Keywords:
Richardson-Lucy algorithm; Contourlet transformation; spectral extrapolation
文献标志码:
A
摘要:
针对无源毫米波图像分辨率低的问题,文中提出一种将 Richardson-Lucy(RL)迭代算法与 Contourlet(CT)变换相结合的图像超分辨复原方法(Contourlet-RL,CT-RL).该方法利用 RL 算法实现图像频谱外推,并采用 Context 模型对多幅迭代子图进行 CT 域自适应去噪,最后利用各子图 CT 域部分高频信息进行逆 CT 变换以获得高分辨率图像.经实验结果证明,该方法能有效改善 RL 算法在频谱外推过程中对噪声敏感的缺陷,增强了图像的分辨率,有利于无源毫米波图像的超分辨率复原
Abstract:
A new method named Contourlet-RL based on Richardson-Lucy algorithm and Contourlet transform is proposed for improving the poor resolution of passive millimeter wave (PMMW) images. The RL algorithm is used to spectral extrapolation,meanwhile the noise of sub images is removed self-adaptively at the regional level of CT domain according to the model of Context,and then the part infor-mation of high frequency is extracted and assembled in CT domain. At last,the inverse transformation is executed for obtaining the re-stored image. Experimental results demonstrate that the method compensates for the flaw of the RL algorithm's noise susceptibility and en-hances the resolution. Furthermore,it is propitious to the super-resolution restoration for PMMW images

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更新日期/Last Update: 1900-01-01