The DCT was used as the main method of image transform coding for a long time.
图像压缩编码长期以来利用离散余弦变换(DCT)作为变换编码的主要技术。
An adaptive image transform coding method for compressing the bandwidth of the digital image signal is described.
本文介绍了一种自适应图象变换编码方法来压缩数字图象信号的带宽。
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。
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。
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。
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。
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。
Image compression is one of the most important key techniques in image processing. Traditional compression methods include prediction coding, transform coding and vector quantization (VQ).
图像压缩是数字图像处理中最重要的关键技术之一，传统的图像压缩方法有预测编码、变换编码和矢量量化等。
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 paper introduced the method to realize the image compression based on Integer Lapped Biorthogonal Transform(LBT) and the theory of coding as well as its hardware design.
介绍基于双正交整数叠式变换（LBT）的图像压缩及编码方法的原理，以及该系统的硬件设计。
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。
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 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。
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；
We firstly overview the properties of fractal coding in image domain, then we derive the corresponding formula of scaling factor and offset of affine transform in DCT domain.
首先，综述了图像域中分形编码的特性，然后导出在离散余弦变换(简称DCT)域中仿射变换的伸缩因子和偏移量的对应公式。
Absrtact: for its fine performance, DCT transform is widely used in the compression and coding method of image and video data.
摘要：DCT变换以其优良特性被图像和视频的数据压缩编码所广泛采用。
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。
The image damage by transform coefficients quantization in ID-DCT transform compression coding is analysed on frequency domain and space domain. Some useful results are obtained.
本文对一维DCT变换压缩编码中变换域系数二次量化引起的图象损伤进行了频域和空间域分析，得出了一些有用的结论。
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。
Coding of arbitrarily shaped image is one of the core techniques in MPEG 4 video compression. One approach to transform an arbitrarily shaped image region is addressed.
任意形状图象对象的变换编码方法是MPEG -4视频编码实现的核心技术之一。
Currently, there are many DWT (Discrete wavelet Transform) based watermarking algorithms, but few of them discuss the issue in association with fractal image coding in wavelet domain.
目前有很多基于离散小波变换(DWT)的水印算法，但结合分形编码技术的很少。
The followings are studied in this thesis: principle of wavelet based image coding methods, key problems of wavelet transform in image codec and some main coding algorithms based on wavelet.
给出了基于小波的图像压缩编码的基本原理与主要几种小波图像压缩算法，讨论了图像编码中小波基选取、边界处理以及分解级数等几个问题。
The method is based on real 3d wavelet transform, and implements a three dimensional extension of SPIHT in still image coding by defining a new spatial-temporal orientation tree structure.
该方法建立在真三维小波分解基础上，通过定义一种新的时空方向树结构，实现了静止图像SPIHT算法的三维扩展。
We use this technique for image coding in the wavelet transform domain and get a satisfactory simulation result.
文中应用失显量化法量化图象于波域数据，取得较满意的压缩效果。
So it is effective to apply U-transform, which may be used extensively in the application of video coding, to the field of image compression.
由此可见，应用u -正交变换对图像进行编码压缩是一类行之有效的方法，并有望在视频编码中得到应用。
So it is effective to apply U-transform, which may be used extensively in the application of video coding, to the field of image compression.
由此可见，应用u -正交变换对图像进行编码压缩是一类行之有效的方法，并有望在视频编码中得到应用。
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