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实验证明，基于3维小波变换的3维SPIHT编码算法在对超光谱图像压缩时，表现出了优良的率失真性能。 并且算法复杂度适中，具有嵌入式特性。
The test results show that the 3D SPIHT algorithm based on 3D DWT for hyperspectral images compression is very efficient, the algorithm is embedded and has modest complexity.
建立了基于小波变换的运动图像编码系统模型，实现了数据的高效压缩并得到了良好的恢复图像。
A system model of image sequence coding based on wavelet transform is established. Then a high data compression ratio is realized and satisfactorily reconstructed image can be obtained.
本文主要研究小波变换在图像压缩中的应用，分析研究等级树集合分割算法(SPIHT)。
In this paper, it is studied to compress image with wavelet transform, and the application of Set Patitioning in Hierarchial Trees (SPIHT) in image process is researched.
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