10 January 1997 Efficient arithmetic coding for wavelet image compression
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zixiang Xiong, Zixiang Xiong, Kannan Ramchandran, Kannan Ramchandran, Michael T. Orchard, Michael T. Orchard, } "Efficient arithmetic coding for wavelet image compression", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); doi: 10.1117/12.263294; https://doi.org/10.1117/12.263294


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