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结构保持的图像序列自适应超分辨率重建
引用本文:郭琳,陈庆虎.结构保持的图像序列自适应超分辨率重建[J].武汉大学学报(信息科学版),2011(5):548-551.
作者姓名:郭琳  陈庆虎
作者单位:武汉大学电子信息学院;湖北大学物理学与电子技术学院;
基金项目:国家公安部应用创新计划资助项目(2008YYCXHBST068)
摘    要:基于概率运动估计的超分辨算法能克服传统超分辨率方法过分依赖于准确运动估计的缺点,为了改善其重建效果,通过分析图像的局部结构模式,给出了局部空域活跃度的定义表征图像的局部结构特征,设计了形状、尺度自适应的非局部空时邻域窗口函数,进而提出了一种结构保持的超分辨率自适应重建算法。实验结果显示,本文方法具有更好的重建性能。

关 键 词:超分辨率  局部结构  梯度结构张量  概率运动估计  自适应

Adaptive Super-Resolution Reconstruction of Image Sequences with Structure Preserving
GUO Lin, CHEN Qinghu.Adaptive Super-Resolution Reconstruction of Image Sequences with Structure Preserving[J].Geomatics and Information Science of Wuhan University,2011(5):548-551.
Authors:GUO Lin  CHEN Qinghu
Institution:GUO Lin1,2 CHEN Qinghu1(1 School of Electronic and Information,Wuhan University,129 Luoyu Road,Wuhan 430079,China)(2 School of Physics and Electronics,Hubei University,368 Youyi Avenue,Wuhan 430062,China)
Abstract:Super-resolution reconstruction with probabilistic motion estimation circumvents the problem that conventional super-resolution methods rely heavily on accurate motion estimation.To improve the effect of its reconstruction,the local structure mode of image is analyzed followed by a definition for local spatial activity given in this paper as a token of the local structure characteristic and a non-local spatial and temporal window function designed to be adaptive in its shape and scale.An adaptive super-reso...
Keywords:super-resolution  local structure  gradient structure tensor  probabilistic motion estimation  adaptive  
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