This paper mainly study how to realize wavelet coefficient layered coding and transmission and image data progressive transmission using the correlation of the transformed image.
本文主要研究如何利用图像小波变换后系数间的相关性实现小波系数的分级编码和传输，从而实现图像的渐近传输技术。
The initialization tables have statistics of a significant coefficient pass for a previous encoded frame or slice using scalable video coding.
所述初始化表具有使用可缩放视频编码的先前经编码帧或片段的有效系数进程的统计数据。
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。
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。
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。
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