Image compression is one of the most important key techniques in image processing. Traditional compression methods include prediction coding, transform coding and vector quantization (VQ).
图像压缩是数字图像处理中最重要的关键技术之一，传统的图像压缩方法有预测编码、变换编码和矢量量化等。
To improve the compression ratio, image quality and coding efficiency, an image coding algorithm based on wavelet transform and scalar vector quantization is presented.
针对标量量化压缩比小而向量量化压缩速度慢、图像复原效果不理想等弱点，提出了基于小波变换的分类量化图像编码算法(简称“分类量化编码”)。
This method connects fractal and vector quantization coding together, during the process of decoding, the only need to check the codebook and to transform the contrast.
由于该方法把分形和矢量量化编码结合起来，因此解码时只需查找码书，并仅进行对比度变换。
This method connects fractal and vector quantization coding together, during the process of decoding, the only need to check the codebook and to transform the contrast.
由于该方法把分形和矢量量化编码结合起来，因此解码时只需查找码书，并仅进行对比度变换。
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