Context Quantization with Fisher Discriminant for Adaptive Embedded Wavelet Image Coding
DCC '99 Proceedings of the Conference on Data Compression
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ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
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DCC '98 Proceedings of the Conference on Data Compression
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Image Communication
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ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
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KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
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Abstract: In this paper, we present a new embedded wavelet image coding system using quadtree splitting and context modeling. It features low computational complexity and high compression efficiency, thanks to jointly utilization of two powerful embedded coding techniques---set partitioning and context modeling. With effective exploitation of strong statistical dependencies among the quadtree nodes built up from subband coefficients, the proposed algorithm substantially improves the coding efficiency of the existing set-partition coders for both lossy and lossless image compression. For examples, our experimental results show that the new algorithm respectively outperforms zerotree-based SPIHT and quadtree-based SPECK by 0.7 dB and 1.0 dB at 0.5 bpp on an average.