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。
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.
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.
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。
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).
对经典DCT变换和整数DCT变换进行研究，并把它们和有限状态矢量量化编码算法相结合，提高了对图像的压缩性能。
Combined with FSVQ algorithm, the traditional DCT transform and integer DCT transform are used to improve the performance of image compression.
在矢量量化和小波变换的结合方面，提出了一种基于视觉特性的小波变换跨带矢量量化压缩编码方案，并通过实验验证了算法的性能；
Based on the former two theories, we propose a wavelet transform cross-band vector quantization based on human vision, and we verify the correction with experimentation.
在矢量量化和小波变换的结合方面，提出了一种基于视觉特性的小波变换跨带矢量量化压缩编码方案，并通过实验验证了算法的性能；
Based on the former two theories, we propose a wavelet transform cross-band vector quantization based on human vision, and we verify the correction with experimentation.
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