一种盲Poisson MAP超分辨方法  

Blind Poisson MAP super-resolution method

作　　者：杨学峰[1] 李金宗[1] 

机构地区：[1]哈尔滨工业大学图像信息技术与工程研究所,哈尔滨150001

出　　处：《计算机工程与应用》2010年第24期177-178,242,共3页Computer Engineering and Applications

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7dB。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.

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 

分 类 号：TN911.7[电子电信—通信与信息系统]