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Volumn , Issue , 2010, Pages 1463-1469

Multi image fusion based on compressive sensing

Author keywords

[No Author keywords available]

Indexed keywords

DETAIL COEFFICIENTS; DIGITAL IMAGE; FUSED IMAGES; MULTIPLE IMAGE; MULTIPLE INPUTS; SAMPLING LOCATION; SAMPLING MODEL; SAMPLING RATES; SPARSE SAMPLING; SPECTRAL ENERGY DISTRIBUTION; STATISTICAL DISTRIBUTION; TOTAL VARIATION MINIMIZATION; WAVELET APPROXIMATIONS;

EID: 79851479684     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICALIP.2010.5684502     Document Type: Conference Paper
Times cited : (22)

References (17)
  • 3
    • 84878104490 scopus 로고    scopus 로고
    • Compressive sampling
    • Zurich, Switzerland: European Mathematical Society Publishing House
    • E.Candes, "Compressive sampling", In: Proceedings of International Congress of Mathematicians. Zurich, Switzerland: European Mathematical Society Publishing House, 2006, 1433-1452.
    • (2006) Proceedings of International Congress of Mathematicians , pp. 1433-1452
    • Candes, E.1
  • 7
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • E.Candés, J.Romberg, and T.Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information", IEEE Transactions on Information Theory. 2006, 52 (2): 489-509.
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.2 , pp. 489-509
    • Candés, E.1    Romberg, J.2    Tao, T.3
  • 9
    • 33947416035 scopus 로고    scopus 로고
    • Near optimal signal recovery from random projections: Universal encoding strategies?
    • E.Candés and T.Tao, "Near optimal signal recovery from random projections: Universal encoding strategies?", IEEE Transactions on Information Theory, 2006, 52(12): 5406-5425.
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.12 , pp. 5406-5425
    • Candés, E.1    Tao, T.2
  • 11
    • 30844433547 scopus 로고    scopus 로고
    • Extensions of compressed sensing
    • Y.Tsaig and D.L.Donoho, "Extensions of compressed sensing", Signal Processing, 2006, 86(3): 549-571.
    • (2006) Signal Processing , vol.86 , Issue.3 , pp. 549-571
    • Tsaig, Y.1    Donoho, D.L.2
  • 14
    • 64649083745 scopus 로고    scopus 로고
    • Signal recovery from random measurements via orthogonal matching pursuit
    • J.Tropp and A.Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit", IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666.
    • (2007) IEEE Transactions on Information Theory , vol.53 , Issue.12 , pp. 4655-4666
    • Tropp, J.1    Gilbert, A.2
  • 15
    • 39449126969 scopus 로고    scopus 로고
    • Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems
    • M. A. T. Figueiredo, R. D. Nowak, and S. J. Wright, "Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems", IEEE Journal, vol. 1, Issue 4, pp.586-597.
    • IEEE Journal , vol.1 , Issue.4 , pp. 586-597
    • Figueiredo, M.A.T.1    Nowak, R.D.2    Wright, S.J.3
  • 16
    • 33646365077 scopus 로고    scopus 로고
    • For most large underdetermined systems of linear equations, the minimal l1 norm solution is also the sparsest solution
    • D.L.Donoho, "For most large underdetermined systems of linear equations, the minimal l1 norm solution is also the sparsest solution", Communications on Pure and Applied Mathematics, 2006, 59(6): 797-829.
    • (2006) Communications on Pure and Applied Mathematics , vol.59 , Issue.6 , pp. 797-829
    • Donoho, D.L.1
  • 17
    • 79851500814 scopus 로고    scopus 로고
    • http://www.imagefusion.org.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.