Dipartimento di Ingegneria Elettronica, Naples Univ.
IEEE Trans Image Process. 1996;5(1):49-55. doi: 10.1109/83.481670.
Address-predictive vector quantization (APVQ) exploits the interblock dependency by jointly encoding the addresses of the codewords associated with spatially close blocks. It profiles the same image quality as memoryless VQ for a much lesser bit rate (BR) and the same computational complexity. In the generalized-cost-measure-based APVQ, the two steps of the encoding process, namely, VQ and predictive address encoding, are carried out jointly by minimizing a generalized cost measure, which takes into account both the BR and the distortion. Computer simulations show that a significant improvement can be obtained with respect to APVQ in terms of both BR and distortion. Compared with memoryless VQ, a bit-rate reduction of almost 60% is obtained for the same image quality.
地址预测矢量量化（APVQ）通过联合编码与空间上接近的块相关联的码字的地址来利用块间相关性。它在相同的计算复杂度下，以比无记忆 VQ 小得多的比特率（BR）获得相同的图像质量。在基于广义代价度量的 APVQ 中，编码过程的两个步骤，即 VQ 和预测地址编码，通过最小化同时考虑 BR 和失真的广义代价度量来联合执行。计算机模拟表明，在 BR 和失真方面，与 APVQ 相比，可以获得显著的改进。与无记忆 VQ 相比，对于相同的图像质量，可以获得近 60%的比特率降低。
