摘要
提出了一种新的分段可逆矩阵变换去除谱间冗余算法,结合CDF(2,2)DWT去除空间冗余,去冗余效果好于3D-CDF(2,2)DWT,改进的EBCOT算法进行编码。实验结果表明,无损压缩性能远好于JPEG-LS、WinZip、ARJ、DPCM、中国科学院一小组、NMST、MST的结果,以JPL的Canal测试图像为例,平均而言无损压缩比分别比上述算法提高了43%、38%、36%、31%、17%、13%、10%左右。该算法运算速度快,便于硬件实现。
This paper presented a new algorithm based on subsection invcrtible matrix transform to eliminate spectral redundancy, and 2D-CDF （2, 2） DWT was used together to eliminate spatial redundancy. Its redundancy elimination effect is better than that of 3D-CDF （2, 2） DWT. The experimental results show that in lossless image compression applications the method is much better than JPEG-LS, WinZip, ARJ, DPCM, the research result of a research team of Chinese Academy of Sciences, NMST and MST. Using Canal test images of JPL laboratory as an example data set, on the average the compression ratio using this algorithm increases by 43%, 38%, 36%, 31%, 17%, 13%, and 10% respectively compared to the above algorithms. The algorithm presented in this paper has advantages in computing efficiency and hardware realization convenience.
出处
《计算机应用》
CSCD
北大核心
2007年第9期2110-2113,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(60672156)
吉林省科技厅项目(20060519)
关键词
分段可逆矩阵变换
相关冗余
无损压缩
改进的EBCOT算法
subsection invertible matrix transform
related redundancy
lossless image compression
improved EBCOT algorithm
