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Improved set-partitioning embedded block scheme for still image compression

[+] Author Affiliations
Shu-Mei Guo

National Cheng Kung University, Department of Computer Science and Information Engineering, Tainan, Taiwan

Bing-Hui Wu

National Cheng Kung University, Department of Computer Science and Information Engineering, Tainan, Taiwan

Jason Sheng-Hong Tsai

National Cheng Kung University, Department of Electric Engineering, Tainan, Taiwan

J. Electron. Imaging. 17(3), 033006 (July 11, 2008). doi:10.1117/1.2952847
History: Received July 03, 2007; Revised March 05, 2008; Accepted April 07, 2008; Published July 11, 2008
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In the last few years, wavelet-based still image compression schemes have become one of the most popular fields of research. Several powerful methods of encoding the wavelet coefficients have been proposed and set-partitioning embedded block (SPECK) is one of the most popular techniques. We propose a method called HSPECK (Huffman SPECK), which is based on SPECK to further improve the compression ratio. By observation, we are able to establish the probability distribution over the significance pattern of four subblocks generated successively along the wavelet decomposition process. Therefore, the Huffman coding scheme can then be employed for coding wavelet coefficients. The experimental results show that under the same peak signal-to-noise ratio, the bit rates via the proposed approach improve between 6.1% and 14.9%.

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Citation

Shu-Mei Guo ; Bing-Hui Wu and Jason Sheng-Hong Tsai
"Improved set-partitioning embedded block scheme for still image compression", J. Electron. Imaging. 17(3), 033006 (July 11, 2008). ; http://dx.doi.org/10.1117/1.2952847


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