A wavelet packet image coding algorithm based on SPECK

摘要：

This paper introduces a new wavelet packet image compression algorithm called WP-SPECK which is based on the set partitioned embedded block coder (SPECK). The zerotree quantization coding which is successful for dyadic wavelet decomposition is not best for WP, because the parent-child relationships of tree structures are difficult to define and the probability of zerotrees are greatly reduced in the WP. To avoid the shortcomings of zerotree quantization, the WP-SPECK algorithm using block quantization shows lower complexity and more efficient performance in wavelet packet image coding. Experimental results demonstrate that the WP-SPECK significantly outperforms the base-line SPECK for PSNR in images of rich texture, and provides better visual quality in texture regions of images.

关键词： WP SPECK block quantization zerotree

作者: Zhang Yan Tang Guowei Wang Shanshe

作者单位: School of Computer and Information Technology Daqing Petroleum Institute Daqing,China College of Arts and Sciences Heilongjiang Bayi Agricultural University Daqing,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 234-237

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）