Many results show a fact that, compared with traditional DCT transform, wavelet transform has a great advantage, and it will surely be broadly used in video compression.
文中的大量实验结果表明，小波变换同传统的DCT变换相比较有很大的优越性，在视频压缩中也必将取得更广泛的应用。
Then a special Vector Quantization, called Wavelet Tree Vector Quantization (WTVQ), is designed to compress the every spectral image data, and a higher compression performance is obtained.
采用特殊矢量量化编码，叫作小波树矢量量化(WTVQ)编码对每个谱象数据进行压缩，获得较高的压缩性能。
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。
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。
The embedded image compression algorithm is discussed. To speed the embedded image compression algorithm with wavelet, a depth variable embedded coding scheme is proposed.
为了提高小波嵌入压缩算法的速度，提出了一种可变深度嵌入小波压缩算法。
Aiming at synopsis computation of approximate query in data stream, a novel wavelet transformation algorithm, Minimum Error based Dimension Compression (MEDC) algorithm, is proposed in this paper.
针对数据流上近似查询中的梗概计算，提出了一种新的基于最小误差的维压缩小波变换算法(MEDC)。
Through the multiresolution decomposition and compression of operator matrix and seismic wave field matrix, we proposed a new method of seismic modeling in wavelet domain.
通过对算子矩阵和地震波场矩阵进行多分辨分解和压缩，得到了小波域中地震波场正演模拟算法。
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。
Nowadays, wavelet transform, vector quantization and embedded encoding has been the primary technique and study focus for image compression, to which people attach their more importance.
目前，小波变换、矢量量化以及嵌入式编码已经成为图像压缩的主要技术及研究热点，越来越受到重视。
In this paper, we describe a data compression method based on wavelet transform for spectral information.
本文介绍一种基于子波变换的光谱信息数据压缩方法。
The paper, by using the transform characteristic of Wavelet, mainly studies the method for image data compression in order to search for the new way of high proportion, high quality image compression.
小波变换是一个新兴数学分支，本文利用小波变换的特性研究图象数据压缩方法，以探寻高比例、高质量压缩图象数据的新途径。
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。
Integer to integer wavelet transform has a simple structure, needs no more storage space and is very easy to be implemented, which is suitable for image compression.
整数提升小波变换结构简单，不需要额外的存储空间，易于实现，在图像压缩中具有很好的应用价值。
The image data of the photo set was compressed with IBR compression algorithms such as the block coder, the reference coder and multidimensional wavelet transform.
再用块编码、参考编码和高维变换(小波)编码等三类I BR压缩系统对照片集图像数据进行压缩。
The advantages of wavelet transform constructed with lifting scheme are introduced and compression algorithm based on lifting wavelet for SAR raw data is proposed.
该文介绍了提升方法构造小波变换的优点，结合SAR原始数据的特点，提出了基于提升小波变换的SAR 原始数据压缩算法。
This article puts emphasis on how to improve compression ratio of image on the premise of ensuring the compressed image with good sight when wavelet analysis is applied to the compression of image.
本文研究的重点是将小波分析应用于图像压缩，探讨在确保压缩图像质量的前提下，如何提高图像压缩比。
A new method combining integer wavelet transform and linear prediction technique for lossless compression of airborne multispectral imagery is proposed in this paper.
首先探讨了基于提升方案的整数小波变换，结合线性预测技术，提出了一种机载多光谱遥感图像的无损压缩方法。
This paper proposes an efficient VLSI method for realizing Discrete Wavelet Transformation for lossless compression in the upcoming JPEG2000standard.
文章提出了一种基于JPEG2000标准中无损压缩滤波器组的VLSI实现方法。
A new wavelet image compression algorithm was proposed based on morphological dilation and the positional information of the important coefficient couplet belt.
提出了一种基于形态膨胀运算的对子带间重要系数位置信息进行联合编码的新型小波图像压缩编码算法。
This paper proposes an energy threshold method based on wavelet transform and has achieved fairly good compression performance by referring to adaptive arithmetic encoding.
以小波变换为基础，提出了能量阈值法，并结合自适应算术编码方法对扰动数据进行压缩，获得了较好的压缩效果。
In the orthogonal wavelet transformation coding, it is to make use of wavelet frequency splitting that may deal with data, and then get the better result of compression.
利用正交小波变换进行小波分频特性分析处理，得到了较好的压缩结果。
For the advantage of wavelet transform in denoising and data compression, we choose wavelet transform to denoise and compress the data of Near-infrared spectra.
并根据小波变换在噪声滤除及数据压缩方面的优势，选取小波变换对光谱数据进行滤噪和初步压缩。
It USES wavelet and fractal to compress image and compare its compression result. Then sum-up what is fit for wavelet and fractal compression.
本课题就是针对上述问题，通过小波变换和分形这两种方法来进行图像压缩，对比起压缩效果，总结出分别适合于小波和分形压缩的图像。
The experiments show that the blind watermarking algorithm is robust in JPEG image compression, image clipping, image scaling and image filtering, especially in wavelet image compression.
实验结果表明，该算法对JPEG压缩及图像剪裁、缩放、滤波有较好的鲁棒性，特别对于基于小波压缩算法的图像具有很好的鲁棒性。
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。
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”)。
A novel method of EEG signals compression representation and epileptiform spikes recognition based on wavelet neural network and its algorithm is presented in this paper.
本文在对小波神经网络及其算法研究的基础上，提出了一种对脑电信号压缩表达和痫样脑电棘波识别的新方法。
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；
First, the theoretical foundations of wavelet based video coder as well as a new video coder for low bit rate video compression used in this research are presented.
首先，论文介绍了基于小波的视频编码器的基本原理，提出一种新的适用于低比特率压缩场景的视频编码器方案。
The data compression effect of multiresolution wavelet analysis can improve the efficiency of energy method, and energy method can deal with boundary constraints.
利用多分辨分析的数据压缩作用来提高能量法的效率，利用约束能量法来处理边界约束。
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