GETSHEARLET

what a shearlet look like

Contents

DESCRIPTION

  [X,Y] = GETSHEARLET(N,R,BETA,SECTOR,SCALE,SHEAR)
  Input
    N     - original image size
    R     - oversampling rate
    beta  - scaling factor
    sector- which sector(1,2,3,4)
    scale - which scale (level)
    sher  - shearing parameter
  Ouput
    X - shearlet in time domain
    Y - shearlet in frequency domain

EXAMPLE

      N = 256; R = 8; beta = 4; sector = 1; scale = 3; shear = 0;
      [X, Y] = GetShearlet(N,R,beta,sector, scale, shear);
      figure(1);
      subplot(1,2,1), imagesc(abs(X));
      subplot(1,2,2), imagesc(abs(Y));

Decomposition of high-frequency part...
scale = 4, Number of Tiles = 33
scale = 3, Number of Tiles = 17
scale = 2, Number of Tiles = 9
scale = 1, Number of Tiles = 5
scale = 0, Number of Tiles = 3
scale = -1, Number of Tiles = 1
Decomposition of low frequency part...
Done!
Reconstruction from high-frequency part...
scale = 4, Number of Tiles = 33
scale = 3, Number of Tiles = 17
scale = 2, Number of Tiles = 9
scale = 1, Number of Tiles = 5
scale = 0, Number of Tiles = 3
scale = -1, Number of Tiles = 1
Reconstrucion from low frequency part...
Done!

See also

WINDOWONPPGRID, ADJWINDOWONPPGRID

Copyright

 Copyright (C) 2011. Xiaosheng Zhuang, University of Osnabrueck

Published with MATLAB® 7.10