摘要
采用稀疏二进制矩阵作为测量矩阵完成了单像素相机对不同场景的拍摄。基于压缩传感理论设计的单像素相机,利用数字微镜阵列和单个探测元件实现高分辨率图像的拍摄,将图像采集和压缩合二为一,减少了数据,降低了系统规模、复杂度和成本。对测量矩阵进行了分析,给出了二进制测量矩阵精确重构条件。搭建了硬件实验平台,采用稀疏二进制测量矩阵,对笔划复杂度不同的"中"字、"国"字和复杂实物这3种不同的场景进行了拍摄实验,利用梯度投影重构算法重构出目标图像,图像分辨率为数字微镜阵列大小。实验结果显示,对于3种不同场景,在测量次数为目标图像像素总数的20%～30%时,能精确重构出目标图像,表明单像素相机能实现高分辨率图像的拍摄。
A single pixel the measurement matr high resolution image IX. by camera was used to shoot different scenes by taking a sparse binary matrix as The single pixel camera based on compressed sensing theory could acquire a using a Digital Micromirror and compressed the picture simultaneously, so that t the system were reduced greatly. In this paper, the reconstructed picture was ture precisely was given. ana yzed, and the conditio An experimental three different scenes were performed forod jects using sparse binary measurement mat the size of the DMD was reconstructed by Device （DMD） and a single detector. It captured he data amount, scale, complexity and the cost of effect of measurement matrix upon the precise of n to reconstruct the binary matrix for object pic- platform was established and imaging experiments under ifferent strokes of the words ＂China＂ and complex real ob- fix. The picture with the picture resolution of as large as gradient projection algorithm. Experiment results indicatethat single pixel camera could reconstruct the image precisely when the number of measurements are 20~30% of the total number of pixels for the object image. It concludes that the single pixel camer- a can acquire high resolution images.
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2012年第11期2523-2530,共8页
Optics and Precision Engineering
基金
国家863高技术研究发展计划资助项目(No.2011AA8082035)
关键词
单像素相机
压缩传感
梯度投影
稀疏二进制矩阵
single pixel camera, compressed sensing, gradient projection, sparse binary matrix
