改进的多级树集合分裂(SPIHT)算法  

New Improvement of Set Partitioning in Hierarchical Trees (SPIHT) Algorithm

作　　者：王振飞[1] 王能超[2] 施保昌[2] 

机构地区：[1]华中科技大学计算机科学与技术学院 [2]华中科技大学并行计算研究所,湖北武汉430074

出　　处：《小型微型计算机系统》2006年第10期1886-1888,共3页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(60473015)资助.

摘　　要：基于中频和高频子带小波系数中的不重要数的相关性,对SPIHT算法提出一些改进.在改进SPIHT算法中,利用一个组合函数来减少相应位置中频子带的不重要小波系数的冗余.构造集合d来减少高频子带带间的冗余.实验结果表明,改进SPIHT算法相对于改进前SPIHT算法有理想的压缩效果,峰值信噪比和人眼视觉效果都有所提高.Proposed some modifications to the SPIHT algorithm. It is based on the idea of the insignificant correlation of wavelet coefficients among medium-and high-frequency subhands. In this scheme, insignificant wavelet coefficients that correspond to the same spatial location in the medium subbands can be used to reduce the redundancy by a combined function proposed in associated with the modified SPIHT. In high-frequency subbands, the modified SPIHT proposes a dictator to reduce the interband redundancy. Experimental results indicate that the proposed technique improves the quality of the reconstructed image in terms of both the peak slgnal-to-noise ratio （PSNR） and the perceptual results over the original SPIHT at the same bit rate.

关 键 词：图像压缩 多级树集合分裂算法 小波变换 零树算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]