一种基于小波变换和矢量量化的图像压缩算法

小波变换和矢量量化都是图像压缩中的重要方法。利用小波变换的系数特点，对图像进行小渡分解，对于能量最为集中的低频分量采用标量量化处理，然后将标量量化过程中产生的残差和高频分量一起构造矢量，进行矢量量化。实验结果表明，此算法能够有效提高重构图像质量，获得较高的信噪比。

Algorithm for image compression based on wavelet transforms and vector quantization

Both wavelet transform and vector quantization are important methods in image compression. In this paper, the feature of wavelet transform was used to decompose image. The low-frequency part which concentrated the most energy was processed by scalar quantization. The residual error produced in scalar quantization together with the high-frequency part can construct vector and do vector quantization. Experimental results show that the algorithm can increase reconstruct image quality effectively and get high SNR.