Document Image Compression by Nonlinear Binary Subband Decomposition and Concatenated Arithmetic Coding
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概要
- 論文の詳細を見る
This paper proposes a new subband coding approach to compression of document images, which is based on nonlinear binary subband decomposition followed by concatenated arithmetic coding. We choose to use the sampling-XOR(Exclusive OR)subband decomposition to exploit its beneficial characteristics to conserve the alphabet size of symbols and to provide a small region of support while providing the perfect reconstruction property. We propose a concatenated arithmetic coding scheme to alleviate the degradation of predictability caused by subband decomposition, where three highpass subband coefficients at the same location are concatenated and then encoded by an octave arithmetic coder. A appropriate context and a new symbol unicolor map, improve the performance of compression more. Simulation results show that each of the functional blocks proposed in the paper performs very well and consequently the proposed subband coder provides very good compression of document images.
- 社団法人映像情報メディア学会の論文
- 2000-01-14
著者
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Lee Choong
Inmc School Of Elec. Eng. Seoul Nat'l Univ.
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Kim Jeong-Kwon
INMC, School of Elec. Eng., Seoul Nat'l Univ.
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Yang Kyeong
Lucent Technology, Bell Laboratory
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Lee Choong
INMC, School of Elec. Eng., Seoul Nat'l Univ.
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Kim Jeong-kwon
Inmc School Of Elec. Eng. Seoul Nat'l Univ.
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Yang Kyeong
Lucent Technology Bell Laboratory
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Yang Kyeong
Lucent Technologies Bell Laboratories
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Kim Jeong-Kwon
INMC, School of Elec. Eng., Seoul Nat'l Univ.
関連論文
- Document Image Compression by Nonlinear Binary Subband Decomposition and Concatenated Arithmetic Coding
- Efficient Representation and Compression of Multi-View Images