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.
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.
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.
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.
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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