基于压缩感知理论的单像素成像系统研究  

Study of single pixel imaging system based on compressive sensing

作　　者：白凌云[1] 梁志毅[1] 徐志军[2] 

机构地区：[1]西北工业大学航天学院,西安710072 [2]空军装备研究院导技所,北京100085

出　　处：《计算机工程与应用》2011年第33期116-119,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(No.60872158)~~

摘　　要：近年来出现的压缩感知理论为信号处理的发展开辟了一条新的道路,它指出可压缩或者稀疏信号的少量线性投影含有足够的信息来进行信号重建和信号处理,在压缩感知理论的基础上,一种新的单像素成像系统的发展得到了广泛的关注,它的主要特点就是只用一个像素的探测器通过用少于图像像素值的采样数目来重建图像,主要介绍了基于压缩感知理论的单像素成像系统的图像重建算法,为单像素成像系统的发展做了有益的探索。The newly emerging compressive sensing theory in recent years has opened up a new path for the development of signal processing.It describes that a small group of non-adaptive linear projections of a sparse or compressible signal contains enough information for signal reconstruction and processing.Based on the compressive sensing theory,the development of a single-pixel imaging system has received extensive attention.The most intriguing feature of the system is that,it can reconstruct the image through samples collected by one pixel detector.Thus the number of detectors in single-pixel imaging system is much less than the number of pixels.The reconstruction algorithm for a single-pixel imaging system image based on compressive sensing theory is mainly described.It has done a useful exploration for a single-pixel imaging system。

关 键 词：信号处理 压缩感知 信号重建 单像素成像 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]