Dept. of Comput. Sci. and Inf. Eng., Nat. Chung Cheng Univ., Chiayi.
IEEE Trans Image Process. 1996;5(2):374-8. doi: 10.1109/83.480773.
Subband coding (SBC) with vector quantization (VQ) has been shown to be an effective method for coding images at low bit rates. We split the image spectrum into seven nonuniform subbands. Threshold vector quantization (TVQ) and finite state vector quantization (FSVQ) methods are employed in coding the subband images by exploiting interband and intraband correlations. Our new SBC-FSVQ schemes have the advantages of the subband-VQ scheme while reducing the bit rate and improving the image quality. Experimental results are given and comparisons are made using our new scheme and some other coding techniques. In the experiments, it is found that SBC-FSVQ schemes achieve the best peak signal-to-noise ratio (PSNR) performance when compared to other methods at the same bit rate.
子带编码（SBC）与矢量量化（VQ）相结合已被证明是一种在低比特率下对图像进行编码的有效方法。我们将图像频谱分为七个非均匀子带。通过利用带间和带内相关性，采用阈值矢量量化（TVQ）和有限状态矢量量化（FSVQ）方法对子带图像进行编码。我们的新 SBC-FSVQ 方案具有子带-VQ 方案的优点，同时降低了比特率并提高了图像质量。给出了实验结果，并将我们的新方案与其他一些编码技术进行了比较。在实验中，与其他方法相比，当在相同的比特率下，SBC-FSVQ 方案获得了最佳的峰值信噪比（PSNR）性能。
