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Volumn 31, Issue , 2015, Pages 197-207

Optimal-correlation-based reconstruction for distributed compressed video sensing

Author keywords

Bregman iteration; Compressed sensing; Correlation model; Distributed video coding; Inter signal correlation; Joint reconstruction; Optimal correlation based; Spatial temporal redundancy

Indexed keywords

CODES (SYMBOLS); COMPRESSED SENSING; IMAGE CODING; IMAGE COMPRESSION; ITERATIVE METHODS; MATHEMATICAL TRANSFORMATIONS; OPTIMIZATION; SIGNAL RECONSTRUCTION;

EID: 84937044027     PISSN: 10473203     EISSN: 10959076     Source Type: Journal    
DOI: 10.1016/j.jvcir.2015.06.020     Document Type: Article
Times cited : (5)

References (28)
  • 2
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • E.J. Candes, J. Romberg, and T. Tao Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information IEEE Trans. Info. Theory 52 2 2006 489 509
    • (2006) IEEE Trans. Info. Theory , vol.52 , Issue.2 , pp. 489-509
    • Candes, E.J.1    Romberg, J.2    Tao, T.3
  • 3
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • D.L. Donoho Compressed sensing IEEE Trans. Info. Theory 52 4 2006 1289 1306
    • (2006) IEEE Trans. Info. Theory , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.L.1
  • 4
    • 33745604236 scopus 로고    scopus 로고
    • Stable signal recovery from incomplete and inaccurate measurements
    • E.J. Candes, J. Romberg, and T. Tao Stable signal recovery from incomplete and inaccurate measurements Commun. Pure Appl. Math. 59 8 2006 1207 1223
    • (2006) Commun. Pure Appl. Math. , vol.59 , Issue.8 , pp. 1207-1223
    • Candes, E.J.1    Romberg, J.2    Tao, T.3
  • 5
  • 8
    • 79951779893 scopus 로고    scopus 로고
    • Dictionary learning-based distributed compressive video sensing
    • H.-W. Chen, L.-W. Kang, C.-S. Lu, Dictionary learning-based distributed compressive video sensing, in: Picture Coding Symposium, 2010, pp. 210-213.
    • (2010) Picture Coding Symposium , pp. 210-213
    • Chen, H.-W.1    Kang, L.-W.2    Lu, C.-S.3
  • 9
    • 77956001341 scopus 로고    scopus 로고
    • Sub-sampling framework of distributed video coding
    • Symposium on Circuits and Systems
    • W. Xu, Z. He, K. Niu, J. Lin, Sub-sampling framework of distributed video coding, in: IEEE Int. Symposium on Circuits and Systems, 2010, pp. 1145-1148.
    • (2010) IEEE Int , pp. 1145-1148
    • Xu, W.1    He, Z.2    Niu, K.3    Lin, J.4
  • 11
    • 79953899032 scopus 로고    scopus 로고
    • Video compressive sensing using spatial domain sparsity
    • J. Zheng, and E.L. Jacobs Video compressive sensing using spatial domain sparsity Opt. Eng. 48 8 2009
    • (2009) Opt. Eng. , vol.48 , Issue.8
    • Zheng, J.1    Jacobs, E.L.2
  • 12
    • 84866026507 scopus 로고    scopus 로고
    • Compressive video sampling with approximate message passing decoding
    • J. Ma, G. Plonka, and M.Y. Hussaini Compressive video sampling with approximate message passing decoding IEEE Trans. Circuits Syst. Video Technol. 22 19 2012 1354 1364
    • (2012) IEEE Trans. Circuits Syst. Video Technol. , vol.22 , Issue.19 , pp. 1354-1364
    • Ma, J.1    Plonka, G.2    Hussaini, M.Y.3
  • 14
    • 80455149723 scopus 로고    scopus 로고
    • Maximum frame rate video acquisition using adaptive compressed sensing
    • Z. Liu, A.Y. Elezzabi, and H.V. Zhao Maximum frame rate video acquisition using adaptive compressed sensing IEEE Trans. Circuits Syst. Video Technol. 21 11 2011 1704 1718
    • (2011) IEEE Trans. Circuits Syst. Video Technol. , vol.21 , Issue.11 , pp. 1704-1718
    • Liu, Z.1    Elezzabi, A.Y.2    Zhao, H.V.3
  • 15
    • 84860380810 scopus 로고    scopus 로고
    • Compressed-sensing-enabled video streaming for wireless multimedia sensor networks
    • S. Pudlewski, A. Prasanna, and T. Melodia Compressed-sensing-enabled video streaming for wireless multimedia sensor networks IEEE Trans. Mobile Comput. 11 6 2012 1060 1072
    • (2012) IEEE Trans. Mobile Comput. , vol.11 , Issue.6 , pp. 1060-1072
    • Pudlewski, S.1    Prasanna, A.2    Melodia, T.3
  • 16
    • 84877585871 scopus 로고    scopus 로고
    • A tutorial on encoding and wireless transmission of compressively sampled video
    • S. Pudlewski, and T. Melodia A tutorial on encoding and wireless transmission of compressively sampled video IEEE Commun. Surv. Tutorials 15 2 2013 754 767
    • (2013) IEEE Commun. Surv. Tutorials , vol.15 , Issue.2 , pp. 754-767
    • Pudlewski, S.1    Melodia, T.2
  • 17
    • 81055124261 scopus 로고    scopus 로고
    • A dictionary generation scheme for block-based compressed video sensing
    • Conf. Signal Proc. Commun. and Computing (ICSPCC)
    • H. Liu, B. Song, H. Qin, Z. Qiu, A dictionary generation scheme for block-based compressed video sensing, in: IEEE Int. Conf. Signal Proc. Commun. and Computing (ICSPCC), 2011, pp. 670-674.
    • (2011) IEEE Int , pp. 670-674
    • Liu, H.1    Song, B.2    Qin, H.3    Qiu, Z.4
  • 18
    • 84884247092 scopus 로고    scopus 로고
    • Dictionary learning based reconstruction for distributed compressed video sensing
    • H. Liu, B. Song, H. Qin, and Z. Qiu Dictionary learning based reconstruction for distributed compressed video sensing J. Vis. Commun. Image R 24 8 2013 1232 1242
    • (2013) J. Vis. Commun. Image R , vol.24 , Issue.8 , pp. 1232-1242
    • Liu, H.1    Song, B.2    Qin, H.3    Qiu, Z.4
  • 19
    • 84874622963 scopus 로고    scopus 로고
    • An adaptive-ADMM algorithm with support and signal value detection for compressed sensing
    • H. Liu, B. Song, H. Qin, and Z. Qiu An adaptive-ADMM algorithm with support and signal value detection for compressed sensing IEEE Signal Process. Lett. 20 4 2013 315 318
    • (2013) IEEE Signal Process. Lett. , vol.20 , Issue.4 , pp. 315-318
    • Liu, H.1    Song, B.2    Qin, H.3    Qiu, Z.4
  • 20
    • 84893394166 scopus 로고    scopus 로고
    • Regularised reweighted BPDN for compressed video sensing
    • H. Liu, B. Song, F. Tian, and H. Qin Regularised reweighted BPDN for compressed video sensing Electron. Lett. 50 2 2014 83 84
    • (2014) Electron. Lett. , vol.50 , Issue.2 , pp. 83-84
    • Liu, H.1    Song, B.2    Tian, F.3    Qin, H.4
  • 21
    • 84878535964 scopus 로고    scopus 로고
    • Correlation estimation from compressed images
    • V. Thirumalai, and P. Frossard Correlation estimation from compressed images J. Vis. Commun. Image R 24 6 2013 649 660
    • (2013) J. Vis. Commun. Image R , vol.24 , Issue.6 , pp. 649-660
    • Thirumalai, V.1    Frossard, P.2
  • 22
    • 19844370110 scopus 로고    scopus 로고
    • An iterative regularization method for total variation-based image restoration
    • S. Osher, M. Burger, D. Goldfarb, J. Xu, and W. Yin An iterative regularization method for total variation-based image restoration Multiscale Model. Simul. 4 2 2005 460 489
    • (2005) Multiscale Model. Simul. , vol.4 , Issue.2 , pp. 460-489
    • Osher, S.1    Burger, M.2    Goldfarb, D.3    Xu, J.4    Yin, W.5
  • 23
    • 84977895355 scopus 로고    scopus 로고
    • Bregman iterative algorithm for l1-minimization with applications to compressed sensing
    • W. Yin, S. Osher, D. Goldfarb, and J. Darbon Bregman iterative algorithm for l1-minimization with applications to compressed sensing SIAM J. Image Sci. 1 2008 143 168
    • (2008) SIAM J. Image Sci. , vol.1 , pp. 143-168
    • Yin, W.1    Osher, S.2    Goldfarb, D.3    Darbon, J.4
  • 24
    • 84969334819 scopus 로고    scopus 로고
    • The split Bregman algorithm for l1-regularized problems
    • T. Goldstein, and S. Osher The split Bregman algorithm for l1-regularized problems SIAM J. Image Sci. 2 2009 323 343
    • (2009) SIAM J. Image Sci. , vol.2 , pp. 323-343
    • Goldstein, T.1    Osher, S.2
  • 25
    • 84888094246 scopus 로고    scopus 로고
    • Error forgetting of Bregman iteration
    • W. Yin, and S. Osher Error forgetting of Bregman iteration J. Sci. Comput. 54 2013 684 695
    • (2013) J. Sci. Comput. , vol.54 , pp. 684-695
    • Yin, W.1    Osher, S.2
  • 26
    • 84862532813 scopus 로고    scopus 로고
    • Compressed sensing with general frames via optimal-dual-based l1-analysis
    • Y. Liu, T. Mi, and S. Li Compressed sensing with general frames via optimal-dual-based l1-analysis IEEE Trans. Inform. Theory 58 7 2012 4201 4214
    • (2012) IEEE Trans. Inform. Theory , vol.58 , Issue.7 , pp. 4201-4214
    • Liu, Y.1    Mi, T.2    Li, S.3
  • 27
    • 84937058395 scopus 로고    scopus 로고
    • D. Donoho, V. Stodden, Y. Tsaig, SparseLab: Matlab software for finding sparse solutions to underdetermined systems
    • D. Donoho, V. Stodden, Y. Tsaig, SparseLab: Matlab software for finding sparse solutions to underdetermined systems < http://sparselab.standford.edu >.
  • 28
    • 84890518384 scopus 로고    scopus 로고
    • Conf. Acoustics, Speech and Signal Processing (ICASSP)
    • F.P. Anaraki, S.M. Hughes, Compressive K-SVD, in: IEEE. Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), 2013, pp. 5469-5473.
    • (2013) IEEE. Int , pp. 5469-5473
    • Anaraki, F.P.1    Hughes, S.M.2    K-Svd, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.