Context modeling of wavelet coefficients in EZW-based lossless image coding

  • Authors:

  • V. N. Ramaswamy;K. R. Namuduri;N. Ranganathan

  • Affiliations:

  • Adv. Multimedia Commun., AT&TBell Labs., Holmdel, NJ, USA;-;-

  • Venue:
  • ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
  • Year:
  • 1999

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Abstract

The EZW lossless coding framework consists of three stages: (i) a reversible wavelet transform, (ii) an EZW data structure to order the coefficients and (iii) an arithmetic coding using context modeling. In this work, we discuss the various experiments conducted on context modeling of wavelet coefficients for arithmetic coding to optimize the compression efficiency. The context modeling of wavelet coefficients can be classified into two parts: (i) context modeling of significance information and (ii) context modeling of the remaining or residue information. It was observed from our experiments while context modeling of residue helped in achieving considerable compression efficiency, the context modeling of significance information helped only to a modest extent.