一种基于小波变换结合反向迭代修正的VQ图象压缩编码方法
摘 要
将反向迭代法引入对VQ（矢量量化）编码误差进行修正，从而使建立在小波变换基础上的VQ编码方法的重建图象质量得到改善，使信噪比（SNR）提高了3～8dB。对于与训练集内样本相差较大的图象在压缩比相同的条件下，改善重建图象的效果尤为明显。
关键词
Fractal Image Compression Based on the Nonline Spatial Shrinking Algorithm
() Abstract
The method of inverse iterating correction are used to correct the error of VQ coding. It improves the quality of reconstructed images base on wavelet transform and VQ coding. It's SNR improves 3～8dB and the effect is obvious, especially for special images under the same CR.
Keywords
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