In this method, the original image 's feature is extracted by using wavelet transform and quantization. The feature information is changed into watermark by the chaotic sequence encryption.
该方法在一定的量化标准下利用小渡变换提取图象的特征信息，通过混沌序列对其加密生成数字水印。
The image compression includes transform of image, quantization and encoding.
图像的压缩包括变换、量化和编码。
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。
And this paper classifies the popular methods, the main ideas are as follows: edge preserving, vector quantization, wavelet transform, interpolation kernel, Fractal technology and edge model.
本文对目前流行的各种方法进行了归类，主要思想有：边缘保持、矢量量化、小波变换、插值核、分形技术以及边缘模型。
The algorithm improves the EZW algorithm through inducting fast successive approximation quantization and effective treatment of marginal subband of wavelet transform.
该方法通过引入快速逐次逼近量化和对小波变换边缘子带的特殊处理，对EZW算法进行了改进。
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。
A new method for predetermination of all-zero blocks in low rate video coding is proposed, which is based on characters of discrete cosine transform (DCT) and quantization.
该文根据离散余弦变换(DCT)和量化运算的特点，提出了一种新的用于低比特率视频编码的全零块预先判别方法。
This paper mainly describes the transform of image and quantization technique.
提出了图像的变换和量化方案。
Simulation results verified the performance of the proposed algorithm better than that of the polyphase transform and selective quantization.
实验结果表明，该算法的性能优于多相变换与选择量化算法。
This method connects fractal and vector quantization coding together, during the process of decoding, the only need to check the codebook and to transform the contrast.
由于该方法把分形和矢量量化编码结合起来，因此解码时只需查找码书，并仅进行对比度变换。
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。
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”)。
Error control can be done in any step such as prediction, transform, quantization, VLC, bitstream syntax structure, channel coding, decoding and etc.
差错控制可以在信源编码和信道编码的各个环节进行，如：预测、变换、量化、可变长编码、比特流结构、复用以及解码等。
In this dissertation, the integer transform, quantization, and deblocking filter are expatiated.
本论文着重对整数变换与量化、去方块滤波做了研究。
This transform algorithm saves the operation time due to without quantization. It can get the same compressed result and even better performance in the case of low bit rate compared with DCT.
通过与传统的离散余弦变换（DCT）进行比较，表明了APIDCBT算法可以不用量化表，节省运算时间，与DCT可达到同样的压缩效果，并且在低码率情况下优于DCT。
Based on the former two theories, we propose a wavelet transform cross-band vector quantization based on human vision, and we verify the correction with experimentation.
在矢量量化和小波变换的结合方面，提出了一种基于视觉特性的小波变换跨带矢量量化压缩编码方案，并通过实验验证了算法的性能；
Finally, in split vector quantization based on LCT research, split vector quantization is adopted to quantize LCT transform coefficients and to design the codebook.
最后，在基于局部余弦变换的分维矢量量化的研究中，对LCT变换系数采用分维矢量量化的方式进行码书设计。
Then analyses the complexity of AVS decoder and finds out the the critical modules are motion compensation, integer transform, quantization and loop filter.
然后对解码器进行复杂度分析，找出解码耗时的关键部分分别为运动补偿、反变换、环路滤波等模块。
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；
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；
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