针对遥感图像的数据特点，提出了结合双正交变换和SPIHT算法的遥感图像小波零树编码方案。
A new remote sensing image coding scheme based on the biorthogonal wavelet transform and SPIHT algorithm is proposed according to the statistical characteristic of remote sensing image data.
文中对嵌入式零树小波编码算法及其改进算法的原理、方法和性能进行了介绍和比较，并指出了嵌入式图像编码的研究方向。
The principles and performances of EZW and its improved algorithms are presented and explained, and the research tendency in the area of embedded image coding is pointed out.
ZBP不仅充分利用了零树符号之间的相关性，而且从位数据的层面上挖掘出了小波系数值之间的相关性，从而提高了算术编码的性能。
ZBP exploits the correlation among the Zerotree symbols and the bit data of wavelet coefficients, so the efficiency of arithmetic coding is improved.
根据不同等级像素重要性不同的特性，采用改进的嵌入零树小波编码方法对预测结果进行多阈值量化。
Considering pixels of different levels have different significance, we utilize improved embedded zerotree wavelet (EZW) to get multilevel thresholds quantization.
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.
基于小波变换的零树编码算法是效果较好的一类压缩方法，因此本文首先对这种算法进行了研究，完成了整体方案的设计。
The zero-tree coding algorithm based on wavelet transform is a kind of good compression method. Firstly, this thesis studies this kind of algorithm and completes the whole design.
介绍了图像工程领域里新颖有效的嵌入式零树小波ezw图像编码方法。
An image coding method is introduced in the field of image engineering which is a new and efficient image coding technique i. e. Embedded zero-tree wavelet EZW image coding.
介绍了图像工程领域里新颖有效的嵌入式零树小波ezw图像编码方法。
An image coding method is introduced in the field of image engineering which is a new and efficient image coding technique i. e. Embedded zero-tree wavelet EZW image coding.
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