DSVD: a tensor-based image compression and recognition method

@article{Inoue2005DSVDAT,
  title={DSVD: a tensor-based image compression and recognition method},
  author={Kohei Inoue and Kiichi Urahama},
  journal={2005 IEEE International Symposium on Circuits and Systems},
  year={2005},
  pages={6308-6311 Vol. 6}
}
Optimal dimensionality reduction of a single matrix is given by the truncated singular value decomposition, and optimal compression of a set of vector data is given by the principal component analysis. We present, in this paper, a dyadic singular value decomposition (DSVD) which gives a near-optimal dimensionality reduction of a set of matrix data and apply it to image compression and face recognition. The DSVD algorithm is derived from the higher-order singular value decomposition (HOSVD) of a… CONTINUE READING

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Compression of multiple images with joint singular value decomposition

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