嵌入式零树小波编码 EZW
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目前,小波变换、矢量量化以及嵌入式编码已经成为图像压缩的主要技术及研究热点,越来越受到重视。
Nowadays, wavelet transform, vector quantization and embedded encoding has been the primary technique and study focus for image compression, to which people attach their more importance.
利用ARM微处理器实现图像的小波变换,并根据ARM本身的结构特点提出了一种改进的嵌入式零树编码算法,以便在ARM微处理器上实现图像压缩。
The paper describes a modified embedded zerotrees coding algorithm adapting to the ARM microprocessor′s structure, which improves the image compression based on the ARM microprocessors.
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.
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