基于小波包的SPIHT算法图像压缩  

A Novel Algorithm of SPIHT Image Compression Based on Wavelet Packet

作　　者：王爱丽[1] 杨明极[1] 

机构地区：[1]哈尔滨理工大学测控技术与通信工程学院,黑龙江哈尔滨150040

出　　处：《哈尔滨理工大学学报》2006年第5期72-75,共4页Journal of Harbin University of Science and Technology

摘　　要：富含细节、纹理和边缘的图像中，重要信息大量集中在中、高频部分，基于小波变换的压缩方法只对低频信息进行多。次分解．针对这个问题，以SPIHT算法为基础，研究了基于小波包分解的图像压缩算法．仿真结果表明，采用小波包分解的SPIHT算法与传统SPIHT算法相比，在同压缩比情况下，峰值信噪比提高了0．35～1dB，适用于纹理丰富的图像的压缩.Image compression methods based on wavelet transform regarding the information in the middle and high frequency is unimportant, so wavelet analysis decomposes the lower frequency bands. But in texture - rich images most significant information of texture and region boundaries often appear in the middle and high frequency. In our paper, Set Partitioning in Hierarchical Trees （SPIHT） algorithm is used to code the wavelet packet coefficients corresponding to the selected best tree. Simulation shows the SPIHT coder decomposed by wavelet packet improves the peak signal - to - noise ratio by 0. 35 to 1 dB for texture - rich images compared with the classical SPIHT coder at the same compression ratio.

关 键 词：图像压缩 小波包分解 SPIHT 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]