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一种新的分块压缩传感图像重建算法
引用本文:佘青山,徐平,罗志增,刘栋良.一种新的分块压缩传感图像重建算法[J].东南大学学报(自然科学版),2011,41(Z1):27-31.
作者姓名:佘青山  徐平  罗志增  刘栋良
作者单位:1. 杭州电子科技大学自动化学院,杭州,310018
2. 杭州电子科技大学生命信息与仪器工程学院,杭州,310018
基金项目:国家自然科学基金资助项目(60874102); 浙江省自然科学基金资助项目(Y1090761,Y1080012,Y1100954)
摘    要:针对传统压缩传感一次性随机测量整幅图像所导致的存储量大、重建时间长等问题,提出了一种新的分块压缩传感重建算法.首先,将图像分割成一系列子块,分别将每个子块的所有列向量首尾连接起来构成原始信号;其次,将该信号经过稀疏变换后投影到观测矩阵上得到对应的观测值,再利用优化方法从这些观测中重建出信号;然后,分类每个重构子块的活动...

关 键 词:分块压缩传感  MRI图像重构  块效应

A new image reconstruction algorithm of block compressed sensing
She Qingshan,Xu Ping,Luo Zhizeng,Liu Dongliang.A new image reconstruction algorithm of block compressed sensing[J].Journal of Southeast University(Natural Science Edition),2011,41(Z1):27-31.
Authors:She Qingshan  Xu Ping  Luo Zhizeng  Liu Dongliang
Institution:She Qingshan1 Xu Ping2 Luo Zhizeng1 Liu Dongliang1 (1School of Automation,Hangzhou Dianzi University,Hangzhou 310018,China) (2School of Life Information Science and Instrument Engineering,China)
Abstract:Due to the fact that the traditional compressed sensing(CS) methods need to access the whole image at once in the random sampling process,which results in more storage and reconstruction time,a novel reconstruction algorithm based on block CS is proposed.First,the image is divided into a series of subblocks,and each subblock is concatenated vectors column-wise to represent the original signal.Secondly,the measurement values of the signal are taken by projecting onto a measurement matrix after sparse transfo...
Keywords:block compressed sensing  magnetic resonance imaging(MRI) reconstruction  blocking artifacts  
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