A system model of image sequence coding based on wavelet transform is established. Then a high data compression ratio is realized and satisfactorily reconstructed image can be obtained.
建立了基于小波变换的运动图像编码系统模型，实现了数据的高效压缩并得到了良好的恢复图像。
The experiment shows that the embedded zerotree coding method can be used in the case of nonseparable wavelet transform and has good PSNR at low compression ratio.
实验表明嵌入式零材编码方法可以用在非分离型二维子波变换情况，在低比特率时有很好的巅值信噪比PSNR。
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.
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。
Wavelet decompose can made the energy of image get together to the low frequency, thus it can form more zero-trees and MSR as the measure of the efficiency of zero-trees coding.
小波分解形成了图像能量的聚集，这种聚集可以形成更多的零树，而MSR作为对对偶小波波形集中度的度量参数，同样也可以作为衡量零树编码效率的度量。
After analyzed the statistical characteristics of disparity and residual image, a new coding scheme of disparity compensated difference based on wavelet transform (WDCD) is presented.
并在分析了视差和残差图像的统计特性后，提出了一个基于小波变换的视差补偿残差(WDCD)的编码方案。
Image coding methods based on wavelet maxima representation are studied.
研究了基于图像子波变换局部极大值描述的压缩编码方法。
Arbitrary shape region of interest lossily and losslessly coding technology based on integer-to-integer shape adaptive discrete wavelet transform has also been studied.
研究了基于整数到整数形状自适应离散小波变换对任意形状感兴趣区域的有损和无损编码技术。
D wavelet transform compression coding for image seqUences has been reported recently.
最近有文献报道图像序列的三维子波变换压缩编码。
This paper mainly study how to realize wavelet coefficient layered coding and transmission and image data progressive transmission using the correlation of the transformed image.
本文主要研究如何利用图像小波变换后系数间的相关性实现小波系数的分级编码和传输，从而实现图像的渐近传输技术。
Combined with various applications in image coding and compression, lifting scheme transform is compared with wavelet transform in both hard realization and computation burden.
结合图像压缩编码的具体应用，从硬件可实现性和计算量两个方面对比了提升框架变换和小波变换。
With analyzing the availability of fractal image coding and the characters of affine transform in wavelet domain, a fractal image coding approach based on classifications is presented in this paper.
通过分析小波分解作为分形图像编码预分解的有效性和小波域内仿射变换的特性，提出一种基于分类的小波域内的分形图像编码方法。
The technique of wavelet transform has been applied and studied in the image coding field extensively because of its good feature of time-frequency and human visual system.
小波变换技术以其良好的空间—频率局部特性和与人眼视觉特性相符的变换机制，在图像编码领域得到了广泛的应用和研究。
An error robust multiple description coding algorithm was proposed, which combines the overcomplete wavelet transform and projection onto convex sets (POCS).
结合过完备小波变换和凸集投影集(POCS)算法，提出了一种对信道差错鲁棒的多描述编码算法。
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.
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。
After the clustering characteristics of image wavelet coefficients' significance distribution in each sub-band was analyzed, run-length coding (RLC) was introduced into SPIHT's output stage.
针对图像小波系数在各子带内显著性分布的聚簇特征，提出了在SPIHT算法的输出环节引入游程编码。
ZBP exploits the correlation among the Zerotree symbols and the bit data of wavelet coefficients, so the efficiency of arithmetic coding is improved.
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。
Furthermore, based on the redundant wavelet video coding system, a new multiple description coding scheme is proposed, which can enhance the transmission robustness with low redundancy.
并且，基于冗余小波变换视频编码的框架，提出了一种多描述视频编码新方法，该方法以牺牲少量编码效率为代价，来提高编码系统的传输鲁棒性。
Motion compensated temporal filtering is an essential component in deciding the coding performance of an interframe wavelet system.
移动补偿时间滤波是一个在决定编码的表现非常重要的要素。
To improve the compression ratio, image quality and coding efficiency, an image coding algorithm based on wavelet transform and scalar vector quantization is presented.
针对标量量化压缩比小而向量量化压缩速度慢、图像复原效果不理想等弱点，提出了基于小波变换的分类量化图像编码算法(简称“分类量化编码”)。
The project is based on wavelet transform image compression, and implements wavelet transform, subband coding, The quantization and entropy encoding processes provide data compression;
该方案基于小波变换的场内图像压缩技术，采用小波变换、子带编码、自适应量化和熵编码来对图像数据进行压缩；
This paper makes a deep insight into two problems of object-based fine granular scalable video coding in the wavelet domain, namely video object coding and motion estimation techniques.
本文对基于对象的小波域视频细粒度可分级编码中的两个关键问题，即视频对象编码和运动估计技术进行了深入研究。
Experimental results show that for the straight line-rich images this algorithm can get better edge reconstruction quality compared with the traditional wavelet-based image coding.
实验结果表明，对富含直线边缘的图像来说，与小波图像编码算法相比，该算法获得了较高的边缘重建质量。
An efficient scheme for video coding is presented which utilizes progressive fractal coding, called wavelet-based fractal approximation (WBFA), and motion compensation (MC).
利用改进的分形编码提出了一种有效的视频编码方法，称作基于小波分形逼近(WBFA)，和运动补偿(MC)。
The image and video coding based on wavelet, transform is studied in this thesis. The new algorithm of wavelet-based image and video compressing is proposed and tested.
本文对小波图像和视频编码进行了深入研究，提出了新的小波图像和视频编码算法，并针对提出的算法进行了实验验证。
This paper introduces an improved classification algorithm of wavelet coefficients in image coding using EZW.
本文提出了图像EZW编码中一种新的分类算法。
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。
While efficient algorithms exist for coding the transform coefficient magnitudes, current wavelet image coding algorithms are not as efficient at coding the sign of the transform coefficients.
虽然当前对小波变换系数幅值进行编码已有了比较高效的算法，但是现行的小波编码算法对小波变换系数符号的编码并非如同对幅值的编码那么有效。
Some characteristics of wavelet transform are greatly accorded with the requirement of image processing, which has caught much attention to wavelet image coding.
由于小波变换所具有的一些特性非常符合图像处理的要求，使得小波变换图像编码得到了广泛关注。
This paper proposes an image compression method using perceivable entropy coding based on wavelet transformation. First, an image is decomposed multicesolutionally by wavelet transformation;
提出了一种基于视觉特性的子波变换图象量化编码方法．这种方法首先通过子波变换将图象进行多分辩率分解；
This paper proposes an image compression method using perceivable entropy coding based on wavelet transformation. First, an image is decomposed multicesolutionally by wavelet transformation;
提出了一种基于视觉特性的子波变换图象量化编码方法．这种方法首先通过子波变换将图象进行多分辩率分解；
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