基于小波包最优基的图像压缩算法研究

Image Compression Algorithm Based on Best Basis of Wavelet Packets

阐述了基于小波包最优基的图像压缩算法,分析了代价函数的选择和最优基的构建并与小波树压缩算法进行了比较,对小波包分解尺度及不同小波基选取对压缩性能的影响进行了探讨。仿真实验表明,基于小波包最优基的压缩算法在保持图像细节信息方面优于小波树压缩算法。但是,如何合理的选取分解尺度及小波基仍有待于进一步研究。

Image compression algorithm based on best basis of wavelet packets is expounded in the paper. The selection of cost function and the design of best basis are analyzed, and compared with the compression algorithm based on wavelet tree. In addition, the influences of different wavelet packet decomposition scales and wavelet basis selection on compression performance are discussed. Simulation experiment shows that compared with the compression algorithm based on wavelet tree, the compression algorithm based on best basis of wavelet packets performs better on keeping image detail information. However, how to reasonably select decomposition scale and wavelet basis still depends on further research work.