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托普利兹-循环块相位掩膜矩阵压缩成像 被引量：3

Compressive Imaging Using Toeplitz-circulant-block Phase Mask Matrices
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摘要 在托普利兹和循环矩阵的基础上,提出一种新的托普利兹-循环块相位掩膜矩阵可压缩双透镜成像方法.模拟实验结果表明:新的相位掩膜矩阵压缩成像可以在显著减少测量的同时,有效地捕获图像信息来重建原始图像;新相位掩膜矩阵的研究为确定性测量在压缩成像领域的应用提供了更多的支撑,在拥有原托普利兹和循环确定性测量优点的同时,还拥有自身的块结构特点,可以进一步减少物理实现成本,为新的照相机的设计提供若干理论、计算和技术支撑. Toeplitz-Circulant-Block phase mask matrices are proposed to implement image acquisition based on Toeplitz and Circulant matrices. Simulation results show that novel phase mask matrices can effectively capture the information of image with a significant reduction of measurements. The new research of phase mask matrices provides more supports for deterministic measurement in the application of compressive imaging. Due to its specific structure, the proposed matrices have more advantages than Toeplitz and Circulant matrices, reduce the difficulty and costs of the physical realization, and provide some theoretical, computing and technical support for new design of camera.
作者 张成 杨海蓉 韦穗
机构地区 安徽大学计算智能与信号处理重点实验室
出处 《光子学报》 EI CAS CSCD 北大核心 2011年第9期1322-1327,共6页 Acta Photonica Sinica
基金 国家自然科学基金(No.60872106) 安徽大学青年科学研究基金(No.kjqn1010) 高校省级自然科学研究项目(No.KJ2010B017)资助
关键词 压缩传感 压缩成像 相位掩膜 确定性测量 托普利兹-循环块矩阵 Compressive sensing Compressive imaging Phase mask Deterministic measurement Toeplitz-Circulant-Block matrices
分类号 TN911.74 [电子电信—通信与信息系统]
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参考文献17

  • 1DUARTE M F,DAVENPORT M A,TAKHAR D,et al.Single-pixel imaging via compressive sampling[J].IEEE Signal Processing Magazine,2008,25(2):83-91.
  • 2BOUFOUNOS P T,BARANIUK R G.1-Bit compressive sensing[C].Information sciences and systems,2008.CISS 2008.42nd Annual Conference on.vol.,no.,pp.16-21.
  • 3STERN A,JAVIDI B.Random projections imaging with extended space-bandwidth product[J].Journal of Display Technology,2007,3(3):315-320.
  • 4MARCIA R F,WILLETT R M.Compressive coded aperture superresolution image reconstruction[C].Acoustics,Speech and Signal Processing,2008 ICASSP 2008.IEEE International Conference on,2008:833-836.
  • 5MARCIA R F,HARMANY Z T,WILLETT R M.Compressive coded apertures for high-resolution imaging[C].SPIE,2010,7723:772304-772304-11.
  • 6BARANIUK R G,STEEGHS P.Compressive radar imaging[C].2007 IEEE Radar Conference,2007:128-133.
  • 7HERMAN M A,STROHMER T.High-resolution radar via compressed sensing[J].IEEE Transactions on Signal Processing,2009,57(6):2275-2284.
  • 8谢晓春,张云华.基于压缩感知的二维雷达成像算法[J].电子与信息学报,2010,32(5):1234-1238. 被引量：49
  • 9余慧敏,方广有.压缩感知理论在探地雷达三维成像中的应用[J].电子与信息学报,2010,32(1):12-16. 被引量：49
  • 10BAJWA W U,HAUPT J D,RAZ G M,et al.Toeplitz-structured compressed sensing matrices[C].Proceedings of the 2007 IEEE/SP 14th Workshop on Statistical Signal Processing,2007,294-298.

二级参考文献177

  • 1张春梅,尹忠科,肖明霞.基于冗余字典的信号超完备表示与稀疏分解[J].科学通报,2006,51(6):628-633. 被引量：71
  • 2R Baraniuk.A lecture on compressive sensing[J].IEEE Signal Processing Magazine,2007,24(4):118-121.
  • 3Guangming Shi,Jie Lin,Xuyang Chen,Fei Qi,Danhua Liu and Li Zhang.UWB echo signal detection with ultra low rate sampling based on compressed sensing[J].IEEE Trans.On Circuits and Systems-Ⅱ:Express Briefs,2008,55(4):379-383.
  • 4Cand,S E J.Ridgelets:theory and applications[I)].Stanford.Stanford University.1998.
  • 5E Candès,D L Donoho.Curvelets[R].USA:Department of Statistics,Stanford University.1999.
  • 6E L Pennec,S Mallat.Image compression with geometrical wavelets[A].Proc.of IEEE International Conference on Image Processing,ICIP'2000[C].Vancouver,BC:IEEE Computer Society,2000.1:661-664.
  • 7Do,Minh N,Vetterli,Martin.Contourlets:A new directional multiresolution image representation[A].Conference Record of the Asilomar Conference on Signals,Systems and Computers[C].Pacific Groove,CA,United States:IEEE Computer Society.2002.1:497-501.
  • 8G Peyré.Best Basis compressed sensing[J].Lecture Notes in Ccmputer Science,2007,4485:80-91.
  • 9V Temlyakov.Nonlinear Methods of Approximation[R].IMI Research Reports,Dept of Mathematics,University of South Carolina.2001.01-09.
  • 10S Mallat,Z Zhang.Matching pursuits with time-frequency dictionaries[J].IEEE Trans Signal Process,1993,41(12):3397-3415.

共引文献900

同被引文献108

  • 1曾然,赵海发,刘树田.数字全息再现像中零级干扰噪声消除及图像增强研究[J].光子学报,2004,33(10):1229-1232. 被引量：18
  • 2QI L, WANG Q H, LUO J Y, et al. An Autostereoscopic 3D Projection Display Based on a Lenticular Sheet and a Parallax Barrier [J]. Journal of Display Technology, 2012, 8(7) : 397 -400.
  • 3TAO Y H, WANG Q H, GU J, et al. Autostereoscopic Three-Dimensional Projector Based on Two Parallax Bar- riers [J]. Optics Letters, 2009, 34(2): 3220-3222.
  • 4LUO J Y, WANG Q H, ZHAO W X, et al. Autostereo- scopic Three-Dimensional Display Based on Two Parallax Barriers [J]. Applied Optics, 2011, 50 (18): 2911 -2915.
  • 5LIPPMANN G. t preuves R6 versibles Photographies Inte- grals [J]. Comptes Rendus de I'Acad6mie des Sciences, 1908, 146(9) : 446 -451.
  • 6OKANO F, HOSHINO H, ARAI J, et al. Real-Time Pickup Method for a Three-Dimensional Image Based on Integral Photography [J]. Applied Optics, 1997, 36 (7) : 1598 - 1603.
  • 7PARK J H, JUNG S Y, CHOI J H, et al. Viewing-An- gle-Enhanced Integral Imaging by Elemental Image Resiz- ing and Elemental Lens Switching [J]. Applied Optics, 2002, 41 (32) : 6875 -6883.
  • 8KIM Y, PARK J H, CHOI H, et al. Viewing-Angle-En- hanced Integral Imaging System Using a Curved Lens Ar- ray [J]. Optics Express, 2004, 12(3) : 421 -429.
  • 9ARAI J, OKANO F, KAWAKITA M, et al. Integral Three-Dimensional Television Using a 33-Megapixel Ima- ging System [J]. Journal of Display Technology, 2010, 6 (10) : 422 -430.
  • 10SLUIJTER M, HERZOG A, BOER D K G, et al. Ray- Tracing Simulations of Liquid-Crystal Gradient-Index Lenses for Three-Dimensional Displays [J]. Journal of Op- tical Society of America B, 2009, 26 ( 11 ) : 2035 - 2042.

引证文献3

二级引证文献2

光子学报
2011年 第9期

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