基于最优小波包的改进型SPIHT图像压缩算法  

A Novel Algorithm of SPIHT Image Compression Based on Best Wavelet Packet

作　　者：李会方[1] 王慧斌[1] 俞卞章[1] 李正[1] 

机构地区：[1]西北工业大学电子信息学院,陕西西安710072

出　　处：《弹箭与制导学报》2005年第1期80-82,共3页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：提出了一种基于最优小波包的SPIHT图像压缩新算法。分析了SPIHT算法和小波系数的特点。根据图像经过小波变换后,最高分解层的小波系数要比其它分解层的小波系数大得多这一数据特性,对多级树集合划分(SPIHT)算法进行了改进。并且,将所有的正交滤波器都分解成一系列的阶梯,从而实现了快速算法。实验结果表明:基于文中提出的SPIHT快速图像压缩算法是一种有效的压缩算法,其压缩速度、图像复原质量等关键技术指标均优于标准的SPIHT编码算法。In this paper, a improved SPIHT image compression method is intorduced based best wavelet packet basis. SPIHT algorithm and the wavelet coefficients is analyzed. Based on the fact that the wavelet coefficients in the highest pyramid level are far bigger than those in other levels after wavelet transformation, the SPIHT algorithm is improved by exploiting this data character. Because all biorthogonal filters can be factored into a sequence of ladder steps, the fast algorithm is realized. The experiment results show that the new image compression algorithm performs better than the standard SPIHT algorithm in the aspects of compression ratio, image quality and coding efficiency.

关 键 词：小波包 最优基 SPIHT算法 图像压缩 技术指标 

分 类 号：TN957.52[电子电信—信号与信息处理]