WTT decomposition for the compression of array’s families and its application to image processing

Authors

  • P.V. Kharyuk Lomonosov Moscow State University
  • I.V. Оseledets Institute of Numerical Mathematics of RAS (INM RAS)

Keywords:

numerical tensor methods, wavelet transform, Wavelet Tensor Train decomposition, Tensor Train decomposition, data compression

Abstract

The application of Wavelet Tensor Train decomposition to the compression of array’s families to image processing is considered. The WTT decomposition is an algebraic technique for the construction of adaptive wavelet transforms. Its main disadvantage is that it requires to store filters for each image. A new approach is proposed on the basis of the construction of a single filter for a sequence of images.

Author Biographies

P.V. Kharyuk

I.V. Оseledets

References

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Published

10-04-2014

How to Cite

Харюк П.В., Оселедец И.В. WTT Decomposition for the Compression of array’s Families and Its Application to Image Processing // Numerical Methods and Programming (Vychislitel’nye Metody i Programmirovanie). 2014. 15. 229-238

Issue

Section

Section 1. Numerical methods and applications