Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (24): 177-178.DOI: 10.3778/j.issn.1002-8331.2010.24.053
• 图形、图像、模式识别 • Previous Articles Next Articles
YANG Xue-feng,LI Jin-zong
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杨学峰,李金宗
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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.
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。
CLC Number:
TN911.7
YANG Xue-feng,LI Jin-zong. Blind Poisson MAP super-resolution method[J]. Computer Engineering and Applications, 2010, 46(24): 177-178.
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.
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URL: http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2010.24.053
http://cea.ceaj.org/EN/Y2010/V46/I24/177