该方法是以分块截断编码技术和矢量量化技术为基础的编码方法。
This method is based on the techniques of block truncation coding and vector quantization.
分块自适应量化(BAQ)算法是目前最适于工程实现的合成孔径雷达(SAR)原始数据压缩算法。
Block Adaptive Quantization (BAQ) is the most efficient algorithm for Synthetic Aperture Radar (SAR) raw data compression. In this paper, the theory on this algorithm is introduced.
然后对矢量量化形成的码书分块加密；
Then the codebook that is generated by vector quantization is blocked and encrypted;
根据各个分块的统计特性，利用神经网络来确定的各个分块的量化步长，将水印嵌入到各个分块的奇异值。
The quantization step is adjusted through the neural network according to the statistics of the blocks, and then the watermark is embedded on the singular value of the blocks.
但在分块处理过程中，由于小波变换的边界扩展及系数量化等原因会产生较严重的边缘赝像效应。
However, in the compression process of blocking image data, severe boundary artifact will be produced because of boundary extension and coefficient quantification.
最后本文探讨了一种将基于结构特征的自适应分块与矢量量化相结合的编码方法。
At last, the adaptive vector quantization coding based on the DCT spectrum main orientation mentioned above is developed.
最后本文探讨了一种将基于结构特征的自适应分块与矢量量化相结合的编码方法。
At last, the adaptive vector quantization coding based on the DCT spectrum main orientation mentioned above is developed.
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