Efficient arithmetic coding for wavelet image compression

Zixiang Xiong; Kannan Ramchandran; Michael T. Orchard

doi:10.1117/12.263294

10 January 1997 Efficient arithmetic coding for wavelet image compression

Zixiang Xiong, Kannan Ramchandran, Michael T. Orchard

Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263294
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

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% bitrate saving (or 0.5 dB gain in PSNR) over a zeroth order adaptive arithmetic coder in high performance wavelet image coders.

Citation Download Citation

Zixiang Xiong, Kannan Ramchandran, and Michael T. Orchard "Efficient arithmetic coding for wavelet image compression", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263294

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