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оригинального документа
: http://num-meth.srcc.msu.ru/english/zhurnal/tom_2014/v15r121.html
Дата изменения: Thu May 15 18:18:38 2014 Дата индексирования: Sun Apr 10 03:02:59 2016 Кодировка: IBM-866 |
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"WTT decomposition for the compression of array's families and its application
to image processing" Kharyuk P.V. and єЮseledets I.V. |
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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. Keywords: numerical tensor methods, wavelet transform, Wavelet Tensor Train decomposition, Tensor Train decomposition, data compression.
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