本文首先介绍了串行嵌入式零树算法的实现过程。
First of all, how to actualize serial EZW algorithm is introduced.
结果表明，嵌入式零树算法的图像恢复效果很理想。
The result shows that the efficiency of image comeback is very well.
通过实验，该算法既能保持原有零树算法良好的压缩品质，而且也改善了图像的视觉质量。
By the tests, the improved algorithm not only bears the effective compression performance of the original zero tree algorithm, but also improves the visual quality of image.
实验结果证明在解码率比较高的情况下，本文方案的图像重构效果较嵌入式零树算法好，无损情况下的压缩比也得到了提高。
The result of experiments shows that the improved algorithm gets a better result in both the quality of recompose image and the compression ratio of lossless.
该算法采用人们熟悉的树型数据结构，可以较为合理地表示稀疏校验矩阵中行与列中非零元素的跳转关系。
This algorithm used the data of tree structure, and could more reasonably the skipping relations of the non-zero elements in the rows and lines of the sparse check matrix.
在对雷达记录仪采集的视频数据分析的基础上，提出了一种改进的基于零树编码的小波分解雷达图像压缩算法。
On the basis of analyzing video data acquisition from radar recording meter, an improved radar image compression algorithm, based on zero-tree coding wavelet decomposition, was proposed.
该算法结合图像的四叉树分解原理，利用图像小波域低频系数的特征来构造零水印。
The algorithm combines the quadtree decomposition of image, with making use of the characteristic of the lowest frequency coefficients in DWT domain to construct non-watermark.
本文结合基于位长四叉树和上下文模型的嵌入零块编码算法提出了一种带描述的流打包方法。
A new stream packet method with stream description is brought forward in this dissertation by linking with the Bit Length Quad-tree Not List Embedded Zero Block Coding and Context Modeling algorithm.
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.
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.
重点对EZW算法进行了详细分析和描述，包括零树及其扫描方法，以及EZW算法的实现步骤。
Emphasis on detailed analysis and illustration of EZW algorithm is given, including zero-tree, scanning fashion and the approach in implementing steps.
该算法也采用的零树的结构，但它的起源算法区别于，它需要不仅零树也作为一组的其余部分树。
This algorithm also adopts the zero-tree structure, but distinguished from its origin algorithm, it takes not only the zero-tree but also the rest trees as a set.
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.
该算法具有较高的压缩比，能够实现有损或无损压缩，能够提供分辨率可分级性，而且保持了原来的嵌入式零树编码所具有的优点。
The algorithm has high compression ratio, and can achieve the lossless and loss compression. It can provide the resolution scalability and remain the former advantages of EZW.
该算法具有较高的压缩比，能够实现有损或无损压缩，能够提供分辨率可分级性，而且保持了原来的嵌入式零树编码所具有的优点。
The algorithm has high compression ratio, and can achieve the lossless and loss compression. It can provide the resolution scalability and remain the former advantages of EZW.
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