Imaging system of single pixel camera based on compressed sensing

CHEN Tao; LI Zheng-wei; WANG Jian-li; WANG Bin; GUO Shuang

doi:10.3788/OPE.20122011.2523

您当前的位置：

首页 >

文章列表页 >

Imaging system of single pixel camera based on compressed sensing

Article | 更新时间：2020-08-12

- Imaging system of single pixel camera based on compressed sensing
- Optics and Precision Engineering Vol. 20, Issue 11, Pages: 2523-2530(2012)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院大学北京,中国,100049
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20122011.2523
  CLC： TN27;TP391
- Received：07 June 2012，
  
  Revised：25 June 2012，
  
  Published：10 November 2012
- 稿件说明：
移动端阅览
陈涛, 李正炜, 王建立, 王斌, 郭爽. 应用压缩传感理论的单像素相机成像系统[J]. 光学精密工程, 2012,20(11): 2523-2530

CHEN Tao, LI Zheng-wei, WANG Jian-li, WANG Bin, GUO Shuang. Imaging system of single pixel camera based on compressed sensing[J]. Editorial Office of Optics and Precision Engineering, 2012,20(11): 2523-2530
陈涛, 李正炜, 王建立, 王斌, 郭爽. 应用压缩传感理论的单像素相机成像系统[J]. 光学精密工程, 2012,20(11): 2523-2530 DOI： 10.3788/OPE.20122011.2523.

CHEN Tao, LI Zheng-wei, WANG Jian-li, WANG Bin, GUO Shuang. Imaging system of single pixel camera based on compressed sensing[J]. Editorial Office of Optics and Precision Engineering, 2012,20(11): 2523-2530 DOI： 10.3788/OPE.20122011.2523.

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。

Abstract

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.

关键词

Keywords

references

DONOHO D L.Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.[2] CANDS E, ROMBERG J, TAO T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information[J].IEEE Transactions on Information Theory, 2006, 52(2): 489-509.[3] CANDS E. Compressive sampling. Proceedings of International Congress of Mathematicians, 2006: 1433-1452.[4] 刘欣悦,董磊,王建立. 稀疏采样傅里叶望远镜成像[J]. 光学精密工程,2010,8(3): 521-527. LIU X Y, DONG L, WANG J L. Fourier telescopy imaging via sparse sampling[J]. Opt. Precision Eng., 2010,18(3): 521-527. (in Chinese)[5] 朱明,高文,郭立强. 压缩感知理论在图像处理领域的应用[J]. 中国光学,2011,4(5): 441-447. ZHU M, GAO W, GUO L Q. Application of compressed sensing theory in image processing[J]. Chinese Opt., 2011, 4(5): 411-447. (in Chinese)[6] 郭军伟. 应用CS理论实现同步采样压缩成像[J]. 中国光学, 2009, 2(6): 525-530. GUO J W. Imaging system of synchronous sample and compression based on CS theory[J]. Chinese Opt., 2011, 4(5): 411-447. (in Chinese)[7] TAKHAR D, LASKA J N, WAKIN M, et al.. A new compressive imaging camera architecture using opticaldomain compression[J]. Proc. IS&T/SPIE Symposium on Electronic Imaging: Computational Imaging, 2006, 6065: 43-52.[8] CHAN W L, CHARAN K, TAKHAR D, et al.. A single-pixel terahertz imaging system based on compressed sensing[J]. Appl. Phys. Let., 2008, 93: 121105-121105-3.[9] MA J W. Single-Pixel Remote Sensing[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(2): 199-203.[10] MA J W. A single-pixel imaging system for remote sensing by two-step iterative curvelet thresholding[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(4): 676-680.[11] FU W X, ZHU S P, ZHANG K. Conceptual research on application of single pixel infrared imaging to missile guidance. Asia-Pacific Conference on Information Processing, 2009: 185-188.[12] FILIIPE M, FRANCISCO M A, MIGUEL V C, et al.. Active illumination single-pixel camera based on compressive sensing[J]. Applied Optics, 2011, 50(4): 405-414.[13] HE Z X, TAKAHIRO O, HASEYAMA M. The simplest measurement matrix for compressed sensing of natural images. Proceedings of 2010 IEEE 17th International Conference on Image Processing September, 2010: 4301-4303.[14] M'ARIO A T F, ROBERT D N, STEPHEN J W. Gradient projection for sparse reconstruction: Application to Compressed Sensing and Other Inverse Problems[J].IEEE Journal of Selected Topics in Signal Processing, 2007,1: 586-597.

Views

361

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Influence of two-arm symmetry on reconstructed image of compressive sensing for ghost imaging

Compressed sensing for ultra-weak light counting imaging

Related Author

WANG Ming-hai

CAO Jun-sheng

GAO Feng-li

YU Wen-kai

YAO Xu-ri

LIU Xue-feng

ZHAI Guang-jie

ZHAO Qing

Related Institution

State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University

Laboratory of Space Science and Experiment Technology, Center for Space Science and Applied Research, Chinese Academy of Sciences

Laboratory of Space Science and Experiment Technology, National Space Science Center, Chinese Academy of Sciences

College of Physics, Beijing Institute of Technology

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰