Discrete Fourier transform subband decomposition 重构新方法
subband non-uniform discrete Fourier transform 单边带非均匀离散傅立叶变换
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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。
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