1) embedded zero wavelet
嵌入零树
1.
Based on the good statistical feature of wavelet image, it presents a study of the most popular coding methods: embedded zero wavelet (EZW), set partitioning in hierarchical trees (SPIHT).
并根据灰度图像经小波变换以后系数的分布、统计特性 ,对现今十分流行的嵌入零树 (EZW)、分层树集合分割排序 (SPIHT)算术编码方法进行研究 。
2) EZW (Embedded Zero Wavelet)
EZW(嵌入零树)
3) embedded zerotree coding
嵌入式零树编码
1.
Power system data compression based on embedded zerotree coding;
基于嵌入式零树编码的电力系统数据压缩
2.
The scan mode of embedded zerotree coding as well as fractal coefficients of fractal coding are adjusted to achieve higher ratio of compression with better quality.
应用小波嵌入式零树编码技术 ,并将其与分形编码技术相结合 ,实现了对小尺寸图像 (12 8× 12 8× 8bits)的有效压缩 。
4) Embedded Zerotree Wavelet(EZW)
嵌入式零树小波
1.
Based on Embedded Zerotree Wavelet(EZW) algorithm,lifting scheme and integer transform are introduced to reduce the complexity.
提出了一种军事图像压缩的新方法,在嵌入式零树小波(EZW)算法基础上引入提升方案和整数变换以降低算法复杂度,在编码前对系数按重要性进行排序并对低频区域的系数的符号进行改变。
5) embedded zerotree wavelet
嵌入零树小波
1.
Image coding based on frequency-plane and embedded zerotree wavelet;
基于频面与嵌入零树小波的图像编码算法
2.
Image compression based on multi-threshold and embedded zerotree wavelet;
基于多阈值与嵌入零树小波的图像压缩算法
6) EZW
嵌入零树小波
1.
Firstly, the scalar quantization method is adopted in order to reduce the number of isolated zeros of EZW (embedded zerotree Wavelets Encoding) algorithm.
首先采用阶梯型量化方法对小波系数进行减少孤独零符号的预处理,然后将嵌入零树小波算法进行了小波系数符号流的扩展从而提高了算法的扫描效率。
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