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On Separation of Semitransparent Dynamic Images from Static Background

  • Conference paper
Independent Component Analysis and Blind Signal Separation (ICA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3889))

Abstract

Presented here is the problem of recovering a dynamic image superimposed on a static background. Such a problem is ill-posed and may arise e.g. in imaging through semireflective media, in separation of an illumination image from a reflectance image, in imaging with diffraction phenomena, etc. In this work we study regularization of this problem in spirit of Total Variation and general sparsifying transformations.

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References

  1. Weiss, Y.: Deriving intrinsic images from image sequences. In: International Conf. Computer Vision (ICCV) (2001)

    Google Scholar 

  2. Rudin, L.I., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Physica D 60, 259–268 (1992)

    Article  MATH  Google Scholar 

  3. Blomgren, P., Chan, T.F., Mulet, P., Wong, C.: Total variation image restoration: numerical methods and extensons. In: Proc. IEEE ICIP (1997)

    Google Scholar 

  4. Chan, T.F., Mulet, P.: Iterative methods for total variation image restoration. SIAM J. Num. Anal. 36 (1999)

    Google Scholar 

  5. Chan, T.F., Wong, C.K.: Total variation blind deconvolution. In: Proc. ONR Workshop (1996)

    Google Scholar 

  6. Bronstein, A.M., Bronstein, M.M., Zibulevsky, M., Zeevi, Y.Y.: Blind deconvolution of images using optimal sparse representations. IEEE Trans. Image Processing 14, 726–736 (2005)

    Article  Google Scholar 

  7. Bertsekas, D.P.: Nonlinear Programming, 2nd edn. Athena Scientific (1999)

    Google Scholar 

  8. Nash, S.: A survey of truncated-Newton methods. Journal of Computational and Applied Mathematics 124, 45–59 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  9. Elad, M.: Retinex by two bilateral filters. In: Proc. Scale-Space (2005)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, Technion – Israel Institute of Technology, Haifa, 32000, Israel

    Alexander M. Bronstein, Michael M. Bronstein & Michael Zibulevsky

Authors
  1. Alexander M. Bronstein
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  2. Michael M. Bronstein
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  3. Michael Zibulevsky
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Editor information

Editors and Affiliations

  1. Siemens Corporate Research, 755 College Road East, 08540, Princeton, NJ, USA

    Justinian Rosca

  2. Department of CSEE, Oregon Health and Science University, Portland, Oregon, USA

    Deniz Erdogmus

  3. Dep. of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, USA

    José C. Príncipe

  4. McMaster University, 1280 Main Street West, L8S 4K1, Hamilton, Ontario, Canada

    Simon Haykin

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© 2006 Springer-Verlag Berlin Heidelberg

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Bronstein, A.M., Bronstein, M.M., Zibulevsky, M. (2006). On Separation of Semitransparent Dynamic Images from Static Background. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2006. Lecture Notes in Computer Science, vol 3889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11679363_116

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  • DOI: https://doi.org/10.1007/11679363_116

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32630-4

  • Online ISBN: 978-3-540-32631-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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