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。
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；
A method of image magnification with ENO interpolation which based on wavelet transform is presented, to enhance the coefficient of the high frequency subband.
提出了基于小波变换的ENO插值图像放大方法，对插值后的图像做小波变换，对于高频系数进行修正，经过重构保持放大图像的清晰度。
Predictive coding based on the grads of neighbor coefficient is proposed to encode LL subband because LL subband occupied a majority of energy of transform coefficient.
由于LL子带占据变换系数的大部分能量，提出一种基于邻域系数的梯度的预测编码单独编码LL子带。
A group of pictures(GOP) consisted of several successive frames was decomposed by motion-compensated temporal filtering(MCTF) to support temporal scalability by using subband/wavelet transform.
运动补偿时域滤波（MCTF）将若干连续的视频帧组成一个图像组进行时域小波分解以获得时域可分级性。
A group of pictures(GOP) consisted of several successive frames was decomposed by motion-compensated temporal filtering(MCTF) to support temporal scalability by using subband/wavelet transform.
运动补偿时域滤波（MCTF）将若干连续的视频帧组成一个图像组进行时域小波分解以获得时域可分级性。
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