Efficient arithmetic coding for wavelet image compression Conference Paper uri icon


  • We address efficient context modeling in arithmetic coding for wavelet image compression. Quantized highpass wavelet coefficients are first mapped into a binary source, followed by high order context modeling in arithmetic coding. A blending technique is used to combine results of context modeling of different orders into a single probability estimate. Experiments show that an arithmetic coder with efficient context modeling is capable of achieving a 10 percent bitrate saving over a zeroth order adaptive arithmetic coder in high performance wavelet image coders.

name of conference

  • Visual Communications and Image Processing '97

published proceedings

  • Proceedings of SPIE

author list (cited authors)

  • Xiong, Z., Ramchandran, K., & Orchard, M. T.

citation count

  • 1

complete list of authors

  • Xiong, Zixiang||Ramchandran, Kannan||Orchard, Michael T

editor list (cited editors)

  • Biemond, J., & Delp III, E. J.

publication date

  • January 1997