Dept. of Comput. Sci. and Inf. Eng., Nat. Chung Cheng Univ.
IEEE Trans Image Process. 1993;2(1):104-8. doi: 10.1109/83.210870.
Future B-ISDN (broadband integrated services digital network) users will be able to send various kinds of information, such as voice, data, and image, over the same network and send information only when necessary. It has been recognized that variable-rate encoding techniques are more suitable than fixed-rate techniques for encoding images in a B-ISDN environment. A new variable-rate side-match finite-state vector quantization with a block classifier (CSMVQ) algorithm is described. In an ordinary fixed-rate SMVQ, the size of the state codebook is fixed. In the CSMVQ algorithm presented, the size of the state codebook is changed according to the characteristics of the current vector which can be predicted by a block classifier. In experiments, the improvement over SMVQ was up to 1.761 dB at a lower bit rate. Moreover, the improvement over VQ can be up to 3 dB at nearly the same bit rate.
未来的 B-ISDN（宽带综合业务数字网）用户将能够通过同一网络发送各种信息，如语音、数据和图像，并仅在需要时发送信息。已经认识到，对于在 B-ISDN 环境中对图像进行编码，变码率编码技术比固定码率技术更合适。本文描述了一种新的变码率的边匹配有限状态矢量量化与块分类器（CSMVQ）算法。在普通的固定码率 SMVQ 中，状态码本的大小是固定的。在提出的 CSMVQ 算法中，状态码本的大小根据当前矢量的特征而变化，当前矢量可以通过块分类器来预测。在实验中，在较低的比特率下，与 SMVQ 相比，改进可达 1.761dB。而且，与 VQ 相比，在几乎相同的比特率下，改进可达 3dB。
