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。
This paper proposes an energy threshold method based on wavelet transform and has achieved fairly good compression performance by referring to adaptive arithmetic encoding.
以小波变换为基础，提出了能量阈值法，并结合自适应算术编码方法对扰动数据进行压缩，获得了较好的压缩效果。
This paper adopt the line-based wavelet transform, aiming at the whole systematic memory, propose a method to reduce the memory at both encoding and decoding.
本论文采用一种基于行的小波变换压缩方法，针对整个系统的内存利用，提出一种在编解码中同时降低内存的方法。
The scheme simulates HVS with the idea of SAQ based on the character of MRA of image coefficients after wavelet transform, which is put into experiments with ROI encoding.
该方案结合逐次逼近量化的思想根据图像小波分解后系数的多分辨特点来模拟人类视觉系统特性，并在图像试验中结合感兴趣区域进行编码。
We code the gray images combined improved run-length encoding algorithm with wavelet transform according to the characteristics of the wavelet transform coefficients.
从二值图像延伸到灰度图像，我们根据小波变换后小波系数的特点，将行程编码算法进行了改进，结合小波变换对灰度图像进行编码。
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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