MAP序列多帧图像超分辨率复原  

MAP super-resolution restoration from image sequences

作　　者：孙余顺[1] 苏秉华[1] 牛丽红[2] 

机构地区：[1]北京理工大学信息科学技术学院光电工程系,北京100081 [2]深圳大学光电子研究所,广东深圳518060

出　　处：《光学技术》2006年第z1期490-493,共4页Optical Technique

基　　金：广东省自然科学基金资助项目(04300865)

摘　　要：序列多帧图像的超分辨率复原是由一序列低分辨率图像来估计一幅高分辨率图像的技术。介绍了序列图像的成像观测模型,给出了一种随机微扫描亚像素运动估计的方法,采用最大后验概率法进行了图像的超分辨率复原,对仿真结果进行了分析和比较。Super resolution image restoration can reconstruct spatial frequencies information above the limit frequency to get more details of image.Multi-frame super-resolution restoration is a technique for estimating an unaliased high resolution image from an aliased video sequence and combating additive noise and blurring due to the finite detector size and optics.It needs to know sub-pixel motion between image sequences.Micro-scan technology can be used to obtain sup-pixel motion between image sequences.An improved Bayesian MAP estimator regularization for super-resolution restoration is proposed.

关 键 词：超分辨率 序列图像 随机微扫描 运动估计 MAP复原 

分 类 号：TN911.73[电子电信—通信与信息系统]