SPIHT

常用释义

SPIHT

扩展信息

多级树集合分裂算法(Set partitioning in hierarchical trees)

3.4多级树集合分裂算法(spiht)分析 3.4.1 spiht算法原理分析 3.4.2 spiht与ezw算法的比较 3.4.3 spiht与ezw算法的实例分析

树集合分割算法

分层小波树集合分割算法（SPIHT）则利用空间树分层分割方法，有效地减小了比特面上编码符号集的规模。同EZW相比，SPI…

分层树中分配样本图像编码

目前3个最高等级的小波图像编码分别是嵌入式小波零树图像编码（EZW），分层树中分配样本图像编码（SPIHT）和可扩展图 …

Set Partition in Hierarchical Trees

Set Partition in Hierarchical Trees (SPIHT) JPEG 2000 Discrete Wavelet Transform IDWT Quantization Decoding Bit - streams ...

例句

Since the introduction of wavelet tree and certain pass, SPIHT can achieve high compression ratio as well as high image quality.

由于引入了小波树，隐藏了扫描路径，因此SPIHT算法能获得较高压缩比，同时保持较好的图像解码质量。

With the number of times scanning increasingly, compression time of SPIHT algorithm will rise.

（分级树的集合分裂）编码算法随着扫描次数增加，压缩时间增长。

The SPIHT algorithm is one of the most efficient still image compression algorithms .

SPIHT算法是压缩编码效率很高的静止图像压缩编码算法。

Due to the introduction of wavelet tree and the certain pass, high compression ratio was obtained as well as high quality of image or video.

由于引入了小波树，隐藏了扫描路径，SPIHT能获得高压缩比，同时保持较高的图像质量。

The algorithm has better coding performance than EZW and SPIHT for it effectively encodes the image areas which are rich in texture.

该算法能够有效地对纹理丰富的图像区域进行编码，比EZW和SPIHT算法具有更好的编码效果。

However, accurate path information is so demanded in SPIHT that any error of path bit will bring decoding failure of following bits.

然而，SPIHT对路径可靠性要求严苛，任何路径信息的传输错误都会导致剩余所有码元的解码出错。

We use wavelet transform and SPIHT encoding method to compress the data that we got after speckle noise reduction.

对噪声滤除后的图像数据，我们再利用小波变换结合SPIHT编码方法进行压缩。

SPIHT algorithm is a simple embedded zerotree coding algorithm with high performance.

分层树的集分割算法是一种简单、有效的嵌入式零树编码算法。

Then coded multiwavelet coefficients by modified set partitioning in hierarchical trees (SPIHT) algorithm to form embedded bit stream.

然后采用改进的多级树集合分裂（SPIHT）算法编码形成嵌入式码流。

Multi-resolution SPIHT, being later proposed, promised resolution option based on channel condition.

而后提出的多分辨率SPIHT算法能使解码器根据信道条件，选择图像还原分辨率。

In this thesis, two steps are added in the SPIHT algorithm to improve the coding efficiency.

本论文在阶级树集合分割演算法中加入两个步骤以改善编码效率。

Finally, in order to make the most of the characteristic of wavelet transform, we improve EZW and SPIHT algorithm in different aspect.

最后，为了更为充分的利用小波变换的特点，本文从多个角度对EZW、SPIHT算法进行了改进。

Bit plane-parallel VLSI architecture for a modified SPIHT algorithm using depth-first search bit stream processing

用深度优先搜索流处理的比特平面并行SPIHT编码结构

Lossless Still Image Compression Using Integer Wavelet Transform and Improved SPIHT Coding

用整数小波结合改进SPIHT编码实现静止图像无损压缩

Application of SPIHT with vector quantization to compression of multispectral image

结合矢量量化的SPIHT算法用于多光谱图像压缩

The Effect of Threshold Trend and Multi-resolution Wavelet Transforms on SPIHT Coding Performance

阈值走势及小波变换尺度对SPIHT编码性能影响的研究

Compression of Interference Spectral Image Based on Weighted Rate -Distortion Optimization for SPIHT

基于加权率失真优化SPIHT算法的干涉多光谱图像压缩

Set Partitioning In Hierarchical Trees, SPIHT

多级树集合分裂算法

SPIHT, Set Partitioning In Hierarchical Trees

分层树集合分割算法

An improved SPIHT algorithm for video- image processing in low bit rate

低码率下视频图像处理SPIHT算法的改进