计算机视觉
像素
人工智能
数字微镜装置
计算机科学
压缩传感
投影(关系代数)
二进制数
图像分辨率
基质(化学分析)
分辨率(逻辑)
计算机图形学(图像)
光学
数学
算法
物理
材料科学
算术
复合材料
作者
陈涛 Chen Tao,李正炜 LI Zheng-wei,王建立 Wang Jian-li,Bin Wang,郭爽 Guo Shuang
出处
期刊:Guangxue jingmi gongcheng
[Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences]
日期:2012-01-01
卷期号:20 (11): 2523-2530
被引量:5
标识
DOI:10.3788/ope.20122011.2523
摘要
A single pixel camera was used to shoot different scenes by taking a sparse binary matrix as the measurement matrix.The single pixel camera based on compressed sensing theory could acquire a high resolution image by using a Digital Micromirror Device(DMD) and a single detector.It captured and compressed the picture simultaneously,so that the data amount,scale,complexity and the cost of the system were reduced greatly.In this paper,the effect of measurement matrix upon the precise of reconstructed picture was analyzed,and the condition to reconstruct the binary matrix for object picture precisely was given.An experimental platform was established and imaging experiments under three different scenes were performed for different strokes of the words China and complex real objects using sparse binary measurement matrix.The picture with the picture resolution of as large as the size of the DMD was reconstructed by gradient projection algorithm.Experiment results indicate that 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 camera can acquire high resolution images.
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