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Journal of Electronic Imaging

Improved set-partitioning embedded block scheme for still image compression
Author(s): Shu-Mei Guo; Bing-Hui Wu; Jason Sheng-Hong Tsai
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Paper Abstract

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%.

Paper Details

Date Published: 1 July 2008
PDF: 9 pages
J. Electron. Imag. 17(3) 033006 doi: 10.1117/1.2952847
Published in: Journal of Electronic Imaging Volume 17, Issue 3
Show Author Affiliations
Shu-Mei Guo, National Cheng Kung Univ. (Taiwan)
Bing-Hui Wu, National Cheng Kung Univ. (Taiwan)
Jason Sheng-Hong Tsai, National Cheng Kung Univ. (Taiwan)

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