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一种盲Poisson MAP超分辨方法
引用本文:杨学峰,李金宗. 一种盲Poisson MAP超分辨方法[J]. 计算机工程与应用, 2010, 46(24): 177-178. DOI: 10.3778/j.issn.1002-8331.2010.24.053
作者姓名:杨学峰  李金宗
作者单位:哈尔滨工业大学 图像信息技术与工程研究所,哈尔滨 150001
摘    要:由于成像系统内部和外部的因素,使得获取的图像产生退化。为获取高分辨率图像,图像超分辨技术获得迅速发展。基于各向异性正则化提出了一种盲Poisson MAP算法,该算法同时估计高分辨图像和包含了位移因素的模糊函数,与基本的盲Poisson MAP算法相比,有效地抑制了振铃效应,清晰度有很大改善,峰值信噪比大约提高7 dB。

关 键 词:超分辨  正则化  各向异性扩散  泊松最大后验概率估计
收稿时间:2009-02-13
修稿时间:2009-4-15 

Blind Poisson MAP super-resolution method
YANG Xue-feng,LI Jin-zong. Blind Poisson MAP super-resolution method[J]. Computer Engineering and Applications, 2010, 46(24): 177-178. DOI: 10.3778/j.issn.1002-8331.2010.24.053
Authors:YANG Xue-feng  LI Jin-zong
Affiliation:Institute of Image Information Technology and Engineering,Harbin Institute of Technology,Harbin 150001,China
Abstract:The image obtained by some sensors will be degraded unavoidably due to some inner and outer reasons of imaging system.In order to obtain high resolution image,the image super-resolution technology has been developed rapidly.A novel blind Poisson MAP algorithm is established,which may synchronously estimate high-resolution image and blur function containing shift factors.Compared with fundamental blind Poisson MAP algorithm,this algorithm can suppress oscillatory artifacts effectively and improve the definition greatly and increase peak SNR about 7 dB.
Keywords:super-resolution  regularization  anisotropic diffusion  Poisson Maximum A Posteriori Estimation
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