Fast implementation of orthogonal greedy algorithm for tight wavelet frames

نویسنده

  • Alexander Petukhov
چکیده

We introduce and study a fast implementation of Orthogonal Greedy Algorithm for wavelet frames. The results of numerical simulation for N -term approximations of standard images by tight wavelet frames showed that to provide the same PSNR the popular 9/7 biorthogonal wavelet bases require 30%–40% more terms of the expansion. This is equivalent to 2–4 dB advantage of the wavelet frames in PSNR over the 9/7 bases for a fixed number of decomposition terms.

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عنوان ژورنال:
  • Signal Processing

دوره 86  شماره 

صفحات  -

تاریخ انتشار 2006