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A new approach to sparse image representation using MMV and K-SVD

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Abstract


  • This paper addresses the problem of image representation based on a sparse decomposition over a learned dictionary. We propose an improved matching pursuit algorithm for Multiple Measurement Vectors (MMV) and an adaptive algorithm for dictionary learning based on multi-Singular Value Decomposition (SVD), and combine them for image representation. Compared with the traditional K-SVD and orthogonal matching pursuit MMV (OMPMMV) methods, the proposed method runs faster and achieves a higher overall reconstruction accuracy.

Publication Date


  • 2009

Citation


  • Yang, J., Bouzerdoum, A. & Phung, S. (2009). A new approach to sparse image representation using MMV and K-SVD. In J. Blanc-Talon, W. Philips, D. Popescu & P. Scheunders (Eds.), Advanced concepts for intelligent vision systems : ACIVS 2009 (pp. 200-209). Berlin, Germany: Springer.

Scopus Eid


  • 2-s2.0-70549113670

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1805&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/791

Book Title


  • Advanced concepts for intelligent vision systems : ACIVS 2009

Has Global Citation Frequency


Start Page


  • 200

End Page


  • 209

Place Of Publication


  • Berlin, Germany

Abstract


  • This paper addresses the problem of image representation based on a sparse decomposition over a learned dictionary. We propose an improved matching pursuit algorithm for Multiple Measurement Vectors (MMV) and an adaptive algorithm for dictionary learning based on multi-Singular Value Decomposition (SVD), and combine them for image representation. Compared with the traditional K-SVD and orthogonal matching pursuit MMV (OMPMMV) methods, the proposed method runs faster and achieves a higher overall reconstruction accuracy.

Publication Date


  • 2009

Citation


  • Yang, J., Bouzerdoum, A. & Phung, S. (2009). A new approach to sparse image representation using MMV and K-SVD. In J. Blanc-Talon, W. Philips, D. Popescu & P. Scheunders (Eds.), Advanced concepts for intelligent vision systems : ACIVS 2009 (pp. 200-209). Berlin, Germany: Springer.

Scopus Eid


  • 2-s2.0-70549113670

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1805&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/791

Book Title


  • Advanced concepts for intelligent vision systems : ACIVS 2009

Has Global Citation Frequency


Start Page


  • 200

End Page


  • 209

Place Of Publication


  • Berlin, Germany