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该文提出了一种基于双正交小波的矢量量化编码方法。该方法充分利用了不同尺度间小波系数的相关性并采用自组织特征映射神经网络进行矢量量化。实验表明,该方法获得较高的编码效率和重构图象质量。
This paper presents a vector quantization coding method based on biorthogonal wavelet. This method makes full use of the correlation between wavelet coefficients at different scales and uses self-organizing feature mapping neural network to vector quantization. Experiments show that the method achieves high coding efficiency and reconstructed image quality.