| 基于小波包最优基的图像压缩算法研究 |
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| 引用本文： | 冯登超,杨兆选. 基于小波包最优基的图像压缩算法研究[J]. 电子测量与仪器学报, 2007, 21(3): 20-22 |
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| 作者姓名： | 冯登超 杨兆选 |
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| 作者单位： | 天津大学电子信息工程学院,天津,300072;天津大学电子信息工程学院,天津,300072 |
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| 摘 要： | 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.
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| 关 键 词： | 小波包 最优基 图像压缩 峰值信噪比 代价函数 |
| 修稿时间： | 2006-02-01 |
Image Compression Algorithm Based on Best Basis of Wavelet Packets |
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| Feng Dengchao,Yang Zhaoxuan. Image Compression Algorithm Based on Best Basis of Wavelet Packets[J]. Journal of Electronic Measurement and Instrument, 2007, 21(3): 20-22 |
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| Authors: | Feng Dengchao Yang Zhaoxuan |
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| Abstract: | 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. |
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| Keywords: | wavelet packet best basis image compression peak signal to noise ratio cost function. |
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