Tetrolet transform: A new adaptive Haar wavelet algorithm for sparse image representation

@article{Krommweh2010TetroletTA,
  title={Tetrolet transform: A new adaptive Haar wavelet algorithm for sparse image representation},
  author={Jens Krommweh},
  journal={J. Visual Communication and Image Representation},
  year={2010},
  volume={21},
  pages={364-374}
}
In order to get an efficient image representation we introduce a new adaptive Haar wavelet transform, called Tetrolet Transform. Tetrolets are Haar-type wavelets whose supports are tetrominoes which are shapes made by connecting four equal-sized squares. The corresponding fast filter bank algorithm is simple but very effective. In every level of the filter bank algorithm we divide the low-pass image into 4 × 4 blocks. Then in each block we determine a local tetrolet basis which is adapted to… CONTINUE READING
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