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。
Combined with various applications in image coding and compression, lifting scheme transform is compared with wavelet transform in both hard realization and computation burden.
实验证明，基于3维小波变换的3维SPIHT编码算法在对超光谱图像压缩时，表现出了优良的率失真性能。 并且算法复杂度适中，具有嵌入式特性。
The test results show that the 3D SPIHT algorithm based on 3D DWT for hyperspectral images compression is very efficient, the algorithm is embedded and has modest complexity.
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。
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.
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。
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.
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 image data of the photo set was compressed with IBR compression algorithms such as the block coder, the reference coder and multidimensional wavelet transform.
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。
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.
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。
A new method combining integer wavelet transform and linear prediction technique for lossless compression of airborne multispectral imagery is proposed in this paper.
本文主要研究小波变换在图像压缩中的应用，分析研究等级树集合分割算法(SPIHT)。
In this paper, it is studied to compress image with wavelet transform, and the application of Set Patitioning in Hierarchial Trees (SPIHT) in image process is researched.
对感兴趣区域(ROI)进行无损压缩编码过程中，采用整数小波变换然后进行算术编码的方案降低运算复杂度、保证图像质量。
In the process of compressing the ROI, to decrease the complexity of computation and ensure the quality of the image, integer wavelets transform and arithmetic algorithm are used.
研究发现，基于空域运动补偿小波视频编码的相关帧丢帧补偿机制可以在很大程度上降低码率，提高压缩比，改善图像在极低码率传输中的质量。
Our study finds out that the compensatory system of relevant frame throwing frame can enhance the rate of compression and improve the quality of image transmitted by the lowest code rate.
并选择了9/7-F、9/7-M和5/3三种传统用于图像压缩的小波来用提升方法实现从整数到整数的小波，为后面进一步研究系数编码做好准备。
Then, the 9/7-F, 9/7-M and 5/3 wavelets which use generally in image compression, are selected for factoring them into lifting steps so as to study the coefficients coding.
文中使用小波变换来对人脸的高维图像矢量进行压缩，并设计了一个支持向量机分类器系统来识别人脸。
This article utilizes the wavelet transform to compress the high dimensional face image vectors, then devises an SVM classify system to recognition the face.
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.
小波变换具有多分辨率和多尺度特性，特别适合于二维图像信号的处理，目前已应用在静止图像的压缩标准中。
While wavelet transform is suitable in image compression due to its multi-resolution and multi-scale analysis property, and is used in the standards of image compression.
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。
A new wavelet image compression algorithm was proposed based on morphological dilation and the positional information of the important coefficient couplet belt.
研究了VR - GIS地质地形景观重建中，运用小波变换进行地质图像的无损压缩、分解和增强的处理。
Wavelet transform is applied to compress and decompose and buildup geology image without losing the information, etc. in the VR-GIS geology landscape reconstruction in this paper.
应用小波变换对腹部MRI进行图像压缩与平滑化处理，应用边缘检测技术进行边缘数据与肝脏特征值的提取，并结合医师确定的肝脏区域进行图像分割效果的评价。
Wavelet transforms are used to compress image and smooth edge of liver region from abdomen MRI. The results of image segmentation are evaluated based on the liver region determined by doctor.
小波变换提供了一种图像的多分辨率分解重建的表示形式，这种小波分解能够有效的利用人类视觉系统的特性压缩图像。
Wavelet provides a compact multi-resolution representation and reconstruction of image, which makes it possible to exploit the property of Human Visual System for image coding.
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 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.
因此，2000年诞生了基于小波变换的更高压缩率以及更多新功能的新一代静态图像压缩标准JPEG2000。
To meet the needs in multimedia applications, a new wavelet-based image compression standard- JPEG2000 was developed in 2000.
序列图像压缩方面，在静态图像压缩算法基础上，提出并实现了一种基于小波的无人机序列图像压缩方案。
For image sequence, this paper proposes a scheme of UAV image sequence compression and realizes it on base of the static image compression coding algorithm before.
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。
It USES wavelet and fractal to compress image and compare its compression result. Then sum-up what is fit for wavelet and fractal compression.
而小波变换多分辨率分解的优良特性，既能大幅度的压缩图像数据，又能很好的保留图像的绝大部分的信息。
The wavelet has the good multi-resolution decomposition features, which both have a significant compression of image data, but also retain most of the information of an image.
结合这种压缩思想，用基于离散余弦变换和基于离散小波变换的压缩算法，对实用型模块化成像光谱仪多光谱图像进行压缩。
Combining the thought dimensioned above, with discrete cosine transform-based and DWT-based compression algorithms, the OMIS multi-spectral images are compressed.
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”)。
To improve the compression ratio, image quality and coding efficiency, an image coding algorithm based on wavelet transform and scalar vector quantization is presented.
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；
The project is based on wavelet transform image compression, and implements wavelet transform, subband coding, The quantization and entropy encoding processes provide data compression;
多小波变换兼有对称性、正交性、光滑性和有限支撑等信号处理中的十分重要的性质，特别适用于图像的压缩编码。
Multiwavelet possesses such very important properties in signal processing as orthogonality, symmetry, smoothness, and short support, which is specially applicable to image coding for compression.
本文是在对小波变换后系数分布特点的研究之上，提出了一种新的基于小波变换的分形图像压缩编码算法。
These thesis put forward a new method of fractal image encodings of compression based on wavelets under the research of distribution of coefficients after wavelets translation.
本文基于Matlab数学分析工具环境下从实验角度出发，探讨了小波变换在图像压缩中的应用和小波基的选取。
From the Angle of the engineering and experimentation in the MATLAB, the paper have discussed the application of image compression based on the wavelet transformation.
本文提出一种用于图像压缩的小波神经网络算法，在医学图像压缩中的应用进行了研究，实验结果表明该算法是具有较好的图像压缩效果。
This thesis proposes a kind of Wavelet neural network algorithm which has been used in the medical image compression, the experiment result shows that the method has a good compression effect.
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