Image Fusion Using Higher Order Singular Value Decomposition

  title={Image Fusion Using Higher Order Singular Value Decomposition},
  author={Junli Liang and Yang He and Ding Liu and Xianju Zeng},
  journal={IEEE Transactions on Image Processing},
A novel higher order singular value decomposition (HOSVD)-based image fusion algorithm is proposed. The key points are given as follows: 1) Since image fusion depends on local information of source images, the proposed algorithm picks out informative image patches of source images to constitute the fused image by processing the divided subtensors rather than the whole tensor; 2) the sum of absolute values of the coefficients (SAVC) from HOSVD of subtensors is employed for activity-level… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 14 references

A contrast based image fusion technique in the DCT domain

  • J. Tang
  • Digit. Signal Process., vol. 14, no. 3, pp. 218…
  • 2004
Highly Influential
4 Excerpts

Extraction of spectral information from Landsat TM data and merger with SPOT panchromatic imagery—A contribution to the study of geological structures

  • H. Yesou, Y. Besnus, J. Rolet
  • ISPRS J. Photogramm. Remote Sens., vol. 48, no. 5…
  • 1993
Highly Influential
4 Excerpts

Pyramid methods in signal processing

  • E. H. Adelson, C. H. Anderson, J. R. Bergen, P. J. Burt, J. Qgden
  • RCA Eng., vol. 29, no. 6, pp. 33–41, Nov./Dec…
  • 1984
Highly Influential
5 Excerpts

A method for compact image representation using sparse matrix and tensor projections onto exemplar orthonormal bases

  • K. S. Gurumoorthy, A. Rajwade, A. Baneriee, A. Rangaraian
  • IEEE Trans. Image Process., vol. 19, no. 2, pp…
  • 2010
2 Excerpts

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