Basic HTML version of Foils prepared 23 February 97

Foil 4 Wavelet compression (4): Algorithm

From Theory and Practice of Wavelet compression Rome Lab Quarterly Review for CIV -- June 28 96. by Czeslaw Jedrzejek, Tomasz Major *
1 Transformation of the image:
  • reversible (lossless) fast wavelet transform in float-point arithmetic (inferior to JPEG)
  • BiOrt (9/7 tap), QMF (5,7,9 tap) or BIP (15,21 tap) filters;
  • asymmetric horizontal and vertical filters - search for automatic method of implementation
2 Quantization of transform coefficients:
  • study of zeroroot statistics revealed potential for further optimization
  • fully embedded codestream
3 Regular lossless coding:
  • fast implementation of arithmetic coder (speeding up the execution time by 2.5 times in period between the reviews)
  • contextual modelling of any order
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